Empower Your Future with the BSIS Course: Mastering Information Systems for Success
Drive success by generating insights, innovating solutions, managing data, people and processes, and embracing the power of data beyond numbers.
The CIIT Bachelor of Science in Information Systems (BSIS) course is specifically designed to equip you with the necessary analytical, technical, and managerial skills required to thrive in today’s dynamic business environment.
With a focus on leveraging information systems effectively, this program empowers you to make informed decisions, solve complex problems, and capitalize on emerging opportunities. Through hands-on projects and real-world experience, you’ll have the opportunity to apply your knowledge and skills in practical settings.
The BSIS Course focuses on the study of information technology and system in various organizations and businesses. It combines elements of computer science, business management, and information technology to equip students with the skills and knowledge needed to manage and utilize information systems effectively. This course encompasses a wide range of subjects that bridge the gap between IT/Tech and the business world. Some subjects include system analysis, design and business analytics, quality engineering, and project management.
As per Commission on Higher Education Permit Number C-005 Series of 2002
PROGRAM DURATION
4 academic years
3 or 4 terms per year
REQUIRED UNITS
15-21 units per term
INTERNSHIP HOURS
800 hours
ADMISSION CONTACT
Specialized Subjects
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1
Introduction to Computing
Introduction to Computing
CS 101 provides an overview of the computing industry and computing profession, including research and applications in different fields; an appreciation of the history of computing; knowledge of computer hardware and software. It would also enhance their office productivity and skills. By the end of the course, the students will create, design, and upload their Personal Website using HTML and CSS.
TOPICS
- Introduction to Computing
- Computer Programming
- Organization and Management Concept
- Discrete Structures
- Object Oriented Programming
- Fundamentals of Information Systems
- Data Structures and Algorithms
- IT Infrastructure and Networking Technologies
- Design Thinking
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2
Computer Programming
Computer Programming
The goal of this course is to provide the students the needed skills to read, synthesize, and encode a program that will be a solution to an existing problem. This also aims to prepare the students for more advanced concepts and disciplines in programming.
TOPICS
- Introduction to Computing
- Computer Programming
- Organization and Management Concept
- Discrete Structures
- Object Oriented Programming
- Fundamentals of Information Systems
- Data Structures and Algorithms
- IT Infrastructure and Networking Technologies
- Design Thinking
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3
Organization and Management Concept
Organization and Management Concept
A comprehensive introductory course on the management process from a manager’s perspective, with particular emphasis on the skills, competencies, techniques and knowledge needed to successfully manage an organization. Students will examine the fundamental roles and processes of planning, leading, organizing, and controlling. Topics include, but not limited to, strategic vision, setting objectives, competitive advantage, and changing business environment influenced by political, economic, social, technological, legal, and environmental factors. Students are expected to develop skills related to the manager’s function as required in today’s competitive environment.
TOPICS
- Introduction to Computing
- Computer Programming
- Organization and Management Concept
- Discrete Structures
- Object Oriented Programming
- Fundamentals of Information Systems
- Data Structures and Algorithms
- IT Infrastructure and Networking Technologies
- Design Thinking
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4
Discrete Structures
Discrete Structures
A continuation of Discrete Mathematics 1, Discrete Mathematics 2, introduces analytical, abstract, and critical thinking methods, deductive reasoning, and logical and mathematical tools used in computing science disciplines. This course aims to introduce students to ideas and techniques from discrete mathematics that are widely used in science and engineering. This course teaches the students techniques to think logically and mathematically and apply these techniques in solving problems.
To achieve this goal, students are expected to know logic and proof, sets, functions, algorithms, and mathematical reasoning. This course covers critical topics involving relations, counting, graphs, trees, and probabilities.
TOPICS
- Introduction to Computing
- Computer Programming
- Organization and Management Concept
- Discrete Structures
- Object Oriented Programming
- Fundamentals of Information Systems
- Data Structures and Algorithms
- IT Infrastructure and Networking Technologies
- Design Thinking
-
5
Object Oriented Programming
Object Oriented Programming
This course covers object-oriented programming principles and techniques using Java or C#. Topics include pointers, classes, overloading, data abstraction, information hiding, encapsulation, inheritance, polymorphism, file processing, templates, exceptions, container classes, and OOP language features. This course also covers basic concepts for software design and reuse.
TOPICS
- Introduction to Computing
- Computer Programming
- Organization and Management Concept
- Discrete Structures
- Object Oriented Programming
- Fundamentals of Information Systems
- Data Structures and Algorithms
- IT Infrastructure and Networking Technologies
- Design Thinking
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6
Fundamentals of Information Systems
Fundamentals of Information Systems
This course provides context on Information Systems practice and use viewed through a range of roles that interact with various entities within and beyond an organization, including those of system developers, users, business managers, IT managers, and vendors. It provides students with a foundation that is further built on in other information systems courses. The course allows students to understand the complexity of real-world applications of information systems within a range of industries. It challenges students to integrate concepts, theories and frameworks with case studies and examples drawn from industry. It contributes to the development of independent critical inquiry, case study analysis and problem solving.
TOPICS
- Introduction to Computing
- Computer Programming
- Organization and Management Concept
- Discrete Structures
- Object Oriented Programming
- Fundamentals of Information Systems
- Data Structures and Algorithms
- IT Infrastructure and Networking Technologies
- Design Thinking
-
7
Data Structures and Algorithms
Data Structures and Algorithms
CS 104 covers the design, analysis, and implementation of data structures and engages learners to use data structures as a tool to algorithmically design efficient computer programs and recognize which data structure is the most appropriate for solving a particular problem.
The course focuses on basic and essential topics in data structures, including recursion, array, structure, pointer, queue, stack and searching and sorting algorithms,
TOPICS
- Introduction to Computing
- Computer Programming
- Organization and Management Concept
- Discrete Structures
- Object Oriented Programming
- Fundamentals of Information Systems
- Data Structures and Algorithms
- IT Infrastructure and Networking Technologies
- Design Thinking
-
8
IT Infrastructure and Networking Technologies
IT Infrastructure and Networking Technologies
This course is about information technology infrastructure in a business environment, including inter-networked data communications and distributed data processing. Topics covered include, the business imperatives for distributed systems, systems architectural design (client/server; distributed processing, etc) layered architecture models (TCP/IP, OSI, etc): key network models and technologies, security issues related to architecture, design and technology, network configuration and management techniques.
TOPICS
- Introduction to Computing
- Computer Programming
- Organization and Management Concept
- Discrete Structures
- Object Oriented Programming
- Fundamentals of Information Systems
- Data Structures and Algorithms
- IT Infrastructure and Networking Technologies
- Design Thinking
-
9
Design Thinking
Design Thinking
This course will offer an immersive experience in Design Thinking as a tool for innovative idea and strategy development. Students are expected to explore and discover the needs of a target audience. They then iterate ideas on teams to develop a range of promising possible solutions, create rough prototypes, and get feedback from the target audience or possible customer. Students can focus on three different challenges; product design, service design, or systems or business design. The course will be teamwork-oriented, but students will also complete readings and independent activities that support the group work and ensure individual depth of knowledge.
TOPICS
- Introduction to Computing
- Computer Programming
- Organization and Management Concept
- Discrete Structures
- Object Oriented Programming
- Fundamentals of Information Systems
- Data Structures and Algorithms
- IT Infrastructure and Networking Technologies
- Design Thinking
-
1
Information Management
Information Management
Information Management course provides students with a foundation of knowledge needed to work with database management systems and to create applications utilizing current development strategies. Students will learn about database object privileges and data security. Students will learn to design, create, populate, and query a database using MySQL. The course will use a mixture of lecture notes, labs, and homework. By the end of the course, the students will create a system database prototype with CRUD
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
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2
Human Computer Interaction
Human Computer Interaction
In this course, students are introduced to the fundamentals, theories and concepts of human-computer interaction (HCI). HCI is an interdisciplinary field that integrates theories and methodologies across many domains including cognitive psychology, neurocognitive engineering, computer science, human factors, and engineering design. Students will gain a theoretical knowledge of and practical experience in the fundamental aspects of Human perception, cognition, and learning as relates to design, implementation, and evaluation of multimodal interfaces (touch, vision, natural language, and audio), virtual reality, and spatial display. In addition to lectures, students will work on individual and team assignments to design, implement, and evaluate various interactive systems and user interfaces based on knowledge culled from class material and additional research.
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
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3
Business Process Management
Business Process Management
This course looks at ways in which business processes can be analyzed, redesigned, and improved. A business process is a set of activities that jointly realize a business goal in an organizational and technical environment.
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
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4
Applications Development
Applications Development
This course focuses on how organizations can effectively and efficiently assess trends and emerging technologies in data and knowledge management, and analyzing and developing application systems. Students will learn how to help their organizations define, select, and adopt new information technologies. It focuses on the development of software applications using emerging technologies either web or mobile based. Emphasis is on requirements management, interface design, usability, and deployment including ethical and legal considerations. Topics include file handling, front-end development with create-retrieve-update-delete (CRUD) modules, event-driven programming, and data manipulation. In addition, this course will introduce students to new directions in information systems and effective approaches for evaluating their relevance and applicability to their business environments as well as the new challenges and problems that they present. They will learn about emerging technologies and the latest design trends in data and knowledge, and applications in terms of what issues they address and in particular, how organizations can exploit them for competitive advantage.
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
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5
Evaluation of Business Performance
Evaluation of Business Performance
The scarcity of learning materials that capture the intricacies of doing business in the Philippines and how to evaluate its performance and effectiveness to use in business courses in schools today have pushed the authors to prepare this learning material. The teaching approach falls short in depicting real problems, challenges and opportunities peculiar to a local enterprise. The culture, economic development stage and politico-legal environment have considerable impact on any business venture, particularly small and medium enterprises or SMEs. Thus, the preparation and publication of a casebook that focuses on Philippine businesses fills an existing gap. With the use of local business cases, the application of theories and concepts in evaluating business performance is enriched.
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
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6
Probability and Statistics
Probability and Statistics
This course introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. Students are expected to obtain hands-on experience in statistical programming and data management (e.g. R).
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
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7
Quantitative Methods
Quantitative Methods
College Algebra and Simple Probabilities are the foundation course for Quantitative Techniques in Business. The major topics covered are: Linear Equations, Linear Inequalities and Linear Programming, Graphical Method of Linear Programming, Simplex Method of Linear Programming, Special Purpose of Algorithms of Linear Programming, Decision Theory, Forecasting, Inventory and Network Analysis.
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
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8
Web Development
Web Development
This course provides an introduction to web development and client-side scripting. It covers basic construction of web pages, cascading style sheets, and javascript. The course provides a foundation in computer programming in Javascript: syntax and data structures, AJAX, DOM, and JS libraries.
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
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9
Accounting
Accounting
As an introductory subject, this course is designed to establish the fundamental knowledge and skills of students in Accounting. This course aims to make students understand the basic theories, concepts, and procedures in accounting, especially the basic accounting equation, to provide a foundation for continuity in studying the facets of Accounting and/or Business and Finance. This course will delve into the procedures essential in the accounting cycle such as recording, classifying, summarizing, and interpreting financial characters in terms of money through journalizing, posting transactions, worksheets, and creation and/or interpretation of financial statements.
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
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10
Financial Management
Financial Management
This course covers the fundamental issues of financial management and the quantitative techniques used to address them. Topics include, but not limited to, financial markets, nominal interest rates, monetary concepts and cash flow scenarios, fixed-income financial assets, constant-growth dividend discount model, risk-return tradeoff, and budgeting capital. A major objective is the development of analytical and decision-making skills in finance through the use of theory questions and practical problems.
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
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11
Machine Learning
Machine Learning
This introductory course gives an overview of many machine learning concepts, techniques, and algorithms. The course will provide the student with the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work. The underlying theme in the course is a statistical inference as it provides the foundation for most of the methods covered. Topics include: supervised learning Linear Regression, Linear Classification, Logistic Regression, Decision Trees, Probabilistic Classifiers, and Reinforcement Learning.
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
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12
Enterprise Systems
Enterprise Systems
This course gives an overview of Enterprise Architecture (EA) and its role in implementing an organization’s strategy. It explores the most used EA methodologies, the fundamentals in business, technology and security and the interrelationships between domains. Students should learn how to measure EA benefits, convey them to key stakeholders and develop architectural and governance skills that follow key frameworks used in the industry (e.g. COBIT, TOGAF) and use an architectural language (e.g. Archimate).
TOPICS
- Information Management
- Human Computer Interaction
- Business Process Management
- Applications Development
- Evaluation of Business Performance
- Probability and Statistics
- Quantitative Methods
- Web Development
- Accounting
- Financial Management
- Machine Learning
- Enterprise Systems
-
1
Systems Analysis and Design
Systems Analysis and Design
System analysis and design deal with planning the development of information systems through understanding and specifying in detail what a system should do and how the components of the system should be implemented and work together. This course deals with the concepts, skills, methodologies, techniques, tools, and perspectives essential for systems analysts to solve business problems. The practical component of this course is object oriented and use-case driven, requiring students to go through the steps of system analysis and design to solve a real-life business problem.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
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2
Data Mining
Data Mining
This course will examine data techniques for the discovery, interpretation and visualization of patterns in large collections of data. Topics covered in this course include data mining methods such as classification, rule-based learning, decision trees, association rules, and data visualization. The work discussed in this course originates in the fields of artificial intelligence, machine learning, statistical data analysis, data visualization, databases, and information retrieval.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
3
IT Security and Risk Management
IT Security and Risk Management
In this course students will understand the main concept of information security, network security and authenticity of the information as well as how to secure the components of the information system. Topics include, but not limited to, introduction to information security, layers of security, threats and vulnerabilities in information security, concept of data and data security, risk modeling, risk management techniques, risk management components, and risk assessment techniques.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
4
Technopreneurship
Technopreneurship
This course covers the principles and theories of Technopreneurship. Students will be able to understand the underlying factors and concepts in creating an innovative solution in delivering Information Technology enabled business. The course also covers the essential elements of entrepreneurship. The students are expected to develop an IT business plan.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
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5
IS Project Management
IS Project Management
This course is mainly designed to prepare project managers, novice or experienced, with project management skills needed to manage projects and build systems. Built along the project management lifecycle, this course covers detailed topics of the basic concepts of project management, including initiating, planning, controlling, executing, and closing projects. The course also shows how systems should be managed, from inception to post implementation review. Students are expected to define project scope, create a workable project plan, and manage within the budget and schedule.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
6
Big Data Systems
Big Data Systems
The course aims to provide students with both theoretical knowledge and practical experience of the field by covering some recent research on big data systems and their basic properties. The course would consider both small and large datasets because both are equally important and with different trade-offs. Topics may include, but not limited to, software frameworks for distributed storage and processing of very large data sets, MapReduce programming model, querying of structured data sets, column stores, key-value stores, document stores, graph databases, distributed stream processing frameworks.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
7
Innovation and Emerging Technologies
Innovation and Emerging Technologies
This course will act as a placeholder for a range of current, disruptive, or emerging technology courses and their implications on organizations, industry sectors and society at large. Possible topics for this course are cloud computing, cybersecurity and blockchain, DevOps, robotics, drones, and other technologies suggested by the Industry. Students are expected to apply strategic thinking and current tools in this course to be industry ready.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
8
Digital Marketing
Digital Marketing
With the rapid shift of marketing budget away from traditional media to online platforms, it is becoming increasingly important for marketing professionals to be well versed in digital marketing and analytics fundamentals. This course is designed to empower students to learn and use digital marketing as a powerful strategy for starting, running, and growing a business.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
9
IS Strategy, Management and Acquisitions
IS Strategy, Management and Acquisitions
This course covers (1) the development, maintenance, and continuous improvement of systems to deliver the information necessary for an organization; (2) the creation of long-term plans for implementing and using organizational information systems to achieve strategic organizational goals and objectives; and (3) the monitoring and controlling of IS resources to ensure alignment with and achievement of strategies, goals, and objectives.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
10
IT Audit and Controls
IT Audit and Controls
This course presents information systems audit, control concepts, and management practices; and how information systems relate to financial and general organizational controls. Before the end of the course, students should be able to conduct audits of information systems.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
11
Business Analytics
Business Analytics
Business analytics will provide students with hands-on skills and knowledge to be able to analyze, present findings, and make meaningful conclusions about data in a business setting. By the end of the course, students will be able to offer valuable insights by recognizing, interpreting, and summarizing a company’s data. The course covers key subjects related to business analytics including, but not limited to, data collection, data visualizations, descriptive statistics, basic probability, statistical inference, and creating linear models.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
12
Enterprise Architecture
Enterprise Architecture
This course gives an overview of Enterprise Architecture (EA) and its role in implementing an organization’s strategy. It explores the most used EA methodologies, the fundamentals in business, technology and security and the interrelationships between domains. Students should learn how to measure EA benefits, convey them to key stakeholders and develop architectural and governance skills that follow key frameworks used in the industry (e.g. COBIT, TOGAF) and use an architectural language (e.g. Archimate).
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
13
Capstone Project 1
Capstone Project 1
Capstone Project 1 is intended to be intensive, active learning projects, requiring significant effort in the planning and implementation, as well as preparation of a substantial final documented work product. This subject is an integrative subject where the students work in project teams under academic supervision and guidance, on a project task.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
14
Professional Issues in Information Systems
Professional Issues in Information Systems
This course provides students with insights into the ethical and social issues associated with developing and maintaining information systems. Students will work in an industry-based learning environment to discuss and understand the application of ethical standards, legal issues, professional practices and principles in business or real-world environments. Topics include, but not limited to, (1) professionalism and business, (2) managing yourself, leaders, and managers, (3) professional communication, (4) professional ethics, (5) legal, social, and cultural issues, (6) IT governance: principles, change, and risk management, (7) teamwork concepts and societal issues.
TOPICS
- Systems Analysis and Design
- Data Mining
- IT Security and Risk Management
- Technopreneurship
- IS Project Management
- Big Data Systems
- Innovation and Emerging Technologies
- Digital Marketing
- IS Strategy, Management and Acquisitions
- IT Audit and Controls
- Business Analytics
- Enterprise Architecture
- Capstone Project 1
- Professional Issues in Information Systems
-
1
Capstone Project 2
Capstone Project 2
Capstone Project 2 is a continuation and the completion of Capstone Project 1, where the project is expected to be working and survey has been made prior to data presentation and analysis. The construction of a summary of findings, conclusions and recommendations are also part of this course. The course will include oral examination or presentation of the project (design or prototype) and paper to a panel of professional experts
TOPICS
- Capstone Project 2
- Job Skills and Career Preparation
- Practicum
-
2
Job Skills and Career Preparation
Job Skills and Career Preparation
Job Skills & Career Preparation course is based on the assumption that every human being is of value and has the right to maximize development. Thus, its main focus is the growth and development of the individual so that they would be able to positively and effectively respond to the realities of everyday life. This course will focus on providing activities that will help in developing each individual so that they can grow into a better person who can make a wise decision in life; a productive individual; and a useful, loving, concerned citizen.
TOPICS
- Capstone Project 2
- Job Skills and Career Preparation
- Practicum
-
3
Practicum
Practicum
The Practicum course, divided into Practicum 1 (480 hours) and Practicum (320 hours), connects the classroom learning and student interest with the acquisition of knowledge in an applied work or industry setting. Through direct observation, hands-on experience, reflection and evaluation, students should gain an understanding of the company’s work, purpose and different stakeholders, how these relate to their academic study, as well as, the organization’s position in the broader computing industry or IT field. Students will produce a critical reflection on their internship experience demonstrating how they achieved the target learning outcomes.
At the end of this course, the student should be able to:
- Demonstrate readiness in job application and confidence in the practice of the profession
- Apply modern tools, techniques, and practice in an industry setting
- Exhibit effective communication skills both oral and written
- Abide by the rules and responsibilities of computing professionals and
- Observe legal, professional, social, and ethical responsibilities.
TOPICS
- Capstone Project 2
- Job Skills and Career Preparation
- Practicum
What makes CIIT’s BSIS Course Unique?
In the BSIS Course, we seamlessly blend core business knowledge with technical skills, rooted in information processing and data analysis. This dynamic fusion allows you to harness your tech savviness while excelling as an entrepreneur, leader, or business manager. With a deep understanding of corporate jargon and coding, you’ll become adept at solving business problems through innovative tech solutions.
Unparalleled Professional Growth with Orange and Bronze Software Labs Partnership
Our program not only equips you with a diverse range of technical skills across various domains but also offers unique opportunities for professional growth. Through our partnership with Orange and Bronze Software Labs (O&B), renowned as one of the best software development companies in the Philippines and a preferred choice of graduates from prestigious universities, you’ll have access to invaluable professional training even during your college years.
A Holistic Approach in the BSIS Course
In the Bachelor of Science in Information Systems (BSIS) course, we adopt a holistic educational philosophy that goes beyond isolated technical skills or business aspects. Our approach seeks to integrate and address all aspects of information systems study in a comprehensive and interconnected manner. We emphasize the broader context of information systems, recognizing how various disciplines within the field are interconnected, and nurturing a deeper understanding of its intricate dynamics.
In this course, you have the power to choose your own college path.
- Software Developer
- Business Analyst
- Quality Engineer
- Systems Analyst
- Software Project Manager
- Data Analyst
Enroll in the BSIS Course and Become a CIITzen Today!
Become part of our vibrant community, where passionate learners, industry experts, and innovative thinkers come together. Here, you’ll gain invaluable knowledge, essential skills, and real-world experience to flourish in the dynamic field of information systems.
It’s time to take the first step towards a rewarding career where you can make a tangible impact on businesses and organizations. Join us as a CIITzen today and unlock your full potential for success in the BSIS Course!
Transferring you to COAST
- Register at COAST
- Pay the admission fee
- Schedule your exam & get a confirmation
- Take exam & wait for your result
- Reserve your slot for enrollment