Technological Institute of the Philippines

Graduate Programs - Quezon City Campus

Doctor in Information Technology
Doctor of Engineering with specialization in Computer Engineering
Master in Information Systems
Master in Information Technology
Master of Science in Computer Science
Master of Engineering
Master in Logistics and Supply Chain Management
Professional Science Master’s Degree in Construction Management
Professional Science Master’s (PSM) Degree in Data Science

Doctor in Information Technology

The Doctor in Information Technology curriculum of T.I.P. aims to develop the needs of professionals who occupy or shall occupy positions of influence in the Information Technology community to perform fundamental and high-level research professional significance.

The program requires thirty (30) units of coursework, which can be completed in three (3) years, on a semester basis, by a full-time student. The curriculum includes eighteen (18) units of specialization coursework, and twelve (12) units of dissertation. During the first year, students are expected to finish eighteen (18) units of specialization courses including Industry Immersion. These courses are expected to prepare the students to engage in research undertakings related to the student’s choice of area of specialization. The last two (2) years of the program are dedicated to dissertation writing. The dissertation courses shall require presentation and publication in at least one (1) local refereed conference and journal, and one (1) international refereed conference and journal.

Prospective students are information technology professionals, academicians, and industry management level IT practitioners who have likewise completed a master’s degree in IT or any allied master’s degree program, with a substantial research component as demonstrated by a presentation of the research output in the national or international conference. Degrees under education and arts are strictly not considered relevant.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
SPECIALIZATION COURSES (24 Units)
DITCC 101 Advanced Data Mining and Warehousing 3 0 3
DITCC 102 Advanced IT Project Management Processes 3 0 3
DITCC 103 Advanced Systems Analysis and Database Design 3 0 3
DITCC 104 IT Protection and Security 3 0 3
DITCC 105 IT Audit with Ethical and Legal Issues in the Wired World 3 0 3
DOES 193 Artificial Intelligence 3 0 3
DOES 1B3 Neural Network 3 0 3
DOES 1C3 Bioinformatics 3 0 3
DOES 1F3 Distributed Systems 3 0 3
DOES 1G3 Information Theory 3 0 3
DITCC 106 Industry Immersion 3 0 3
DITCC 107 Scientific Writing and Communication 3 0 3
DITCC 108 Special Topics 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
DISSERTATION (12 Units)
DISWR 201 Dissertation 1 3 0 3
DISWR 202 Dissertation 2 3 0 3
DISWR 203 Dissertation 3 3 0 3
DISWR 204 Dissertation 4 3 0 3

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Doctor of Engineering with specialization in Computer Engineering

The Doctor of Engineering is a three (3) -year research-based program that aims to develop the skills of engineering practitioners and educators in their specialized fields.

The program requires thirty (30) units of coursework that include eighteen (18) units of specialization coursework, and twelve (12) units of dissertation. The specialization coursework, which are based on the skills and expertise of the faculty members, shall prepare the students to engage in research undertakings related to the student's choice of area of specialization. The dissertation courses shall require publication in at least two (2) international refereed journals or refereed proceedings.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
REMEDIAL COURSES (9 Units)
MERC 111 Engineering Analysis 3 0 (3)
MERC 112 Research Techniques with Statistical Methods 3 0 (3)
MERC 113 Advanced Optimization Theory and Methods 3 0 (3)
COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
SPECIALIZATION COURSES (24 Units)
DOES 113 Advanced Computer Organization and Structure 3 0 3
DOES 133 Embedded Systems 3 0 3
DOES 163 Advanced Switching Theory and Logic Design 3 0 3
DOES 193 Artificial Intelligence 3 0 3
DOES 1A3 Machine Vision and Image Processing 3 0 3
DOES 1B3 Neural Networks 3 0 3
DOES 1C3 Bioinformatics 3 0 3
DOES 1E3 Data Communications Network Design 3 0 3
DOES 1F3 Distributed Systems 3 0 3
DOES 1H3 Systems Networking and Security 3 0 3
DOES 1K3 Digital Signal Processing 3 0 3
DOES 1L3 Advanced Robotics and Automation 3 0 3
DITCC 106 Industry Immersion 3 0 3
DITCC 107 Scientific Writing and Communication 3 0 3
DITCC 108 Special Topics 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
DISSERTATION (12 Units)
DISWR 201 Dissertation 1 3 0 3
DISWR 202 Dissertation 2 3 0 3
DISWR 203 Dissertation 3 3 0 3
DISWR 204 Dissertation 4 3 0 3

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Master in Information Systems

Master’s degree in Information Systems at T.I.P. is developed to give the students strong foundation both in theories and applications needed in satisfying industry-desired competency in the field of Information Systems. MIS students will be able to experience unified approach in acquiring the technical knowledge and skills in addressing and solving organizational or business-related challenges and problems. T.I.P. has lined-up the most qualified master’s and doctorate degree holder professors of the institution.

The curriculum is designed in such a way that the students will develop a balanced mastery in business and technology to deal with the ever-growing and becoming complex information systems. The courses will directly link the learnings of the students to the real world organizational and business scenario, which they can apply to their current and future workplaces as IT professionals and administrators. The curriculum integrates elements like software applications, business laws and ethics, management, decision making, and other technology and business components, which will enable the students in running today’s business. The curriculum also intends for the students or professionals to be technologically up-to-date by offering them specializations which are essential for business administration, communication, and decision support. At the terminal part of their study, students are required to produce their independent study which is expected to be with relevant impact to the IS industry.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
REMEDIAL COURSES (12 Units)
MITRC 012L1 Data Structures and Algorithms 2 3 (3)
MITRC 022L1 Computer Systems Organization 2 3 (3)
MISRC 032L1 Information Management and Database Systems 2 3 (3)
MITRC 042L1 Computer Programming 2 3 (3)

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CORE COURSES (15 Units)
MISCC 113 Financial Management 3 0 3
MISCC 183 IS Project and Change Management with Analysis and Design 3 0 3
MISCC 193 AIT Audit 3 0 3
MISCC 200 Advanced Computer Systems 3 0 3
PSMDSBC 101 Business Intelligence and Analytics 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
ELECTIVES COURSES (9 Units)
MISBAEL 223 Informations Systems Analytics 3 0 3
MISBAEL 243 IT Quality Assurance 3 0 3
MISCC 123 Human-Computer Interaction 3 0 3
MISCC 133 Legal and Ethical Issues in IS 3 0 3
MISCC 143 Organization and Business Processes 3 0 3
MISICEL 333 Telecommunications and Networks 3 0 3
MISICEL 343 Consulting in Information Technology 3 0 3
MISPMEL 433 Operations and Service Management 3 0 3
MITELEC 101 Special Topics 3 0 3
MITNSEL 343 IT Security and Risk Management 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CAPSTONE COURSES (6 Units)
MITCP 413 Capstone Project 1 3 0 3
MITCP 423 Capstone Project 2 3 0 3

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Master in Information Technology

Master in Information Technology allows students to apply IT Theories and principles that address real world business opportunities and challenges. Under the guidance of competent practitioner faculty, the students are given sufficient grounding in theory and practice. The course has been designed to make graduates effective professionals. Areas of expertise are systems integration, systems administration, systems planning, systems implementation, and other activities that maintain the integrity and proper functionality of a system and its components.

The curriculum is integrally designed to produce graduates who shall be prepared to excel in positions that involve providing IT solutions. These roles include those of project manager, systems architect, information architect, process analyst, and technology architect. Graduates shall be ready to function in Information Technology positions with the competency, skills, and attitudes necessary for success in the workplace. The curriculum provides students the opportunity for continued career growth and life-long learning as IT professionals.

The students entering this degree program should have had undergraduate or industry preparation that would have exposed them to programming concepts and skills as well as the operating environment of a network system.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
REMEDIAL COURSES (12 Units)
MITRC 012L1 Data Structures and Algorithms 2 3 (3)
MITRC 023 Discrete Mathematics 2 3 (3)
MITRC 032L1 Computer Organization and Systems Programming 2 3 (3)
MITRC 043 Introduction to Operating Systems 3 0 (3)

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CORE COURSES (15 Units)
MITBC 113 Advanced Data Structure and Algorithm Analysis 3 0 3
MITBC 123 Data Warehousing and Data Mining 3 0 3
MITBC 153 Methods of Research with Statistics 3 0 3
MITMC 263 Software Systems Analysis and Database Design 3 0 3
MITMC 273 IT Project Management Processes 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
ELECTIVE COURSES (9 Units)
MITADEL 223 Multimedia Systems Development 3 0 3
MITADEL 233 Application Development 3 0 3
MITADEL 243 Mobile Application Development 3 0 3
MITMC 213 Advanced Computer Architecture 3 0 3
MITMC 233 Computer System Evaluation and Performance 3 0 3
MITMC 243 Distributed Computer Systems 3 0 3
MITELEC 101 Special Topics 3 0 3
MITELEC 213 Computer Network Technology 3 0 3
MITELEC 323 Information Technology Issues and Seminars 3 0 3
MITNSEL 343 IT Security and Risk Management 3 0 3
MITNSEL 353 IT Security Policies and Procedures 3 0 3
PSMDSSC 103 Applied Machine Learning 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CAPSTONE COURSES (6 Units)
MITCP 413 Capstone Project 1 3 0 3
MITCP 423 Capstone Project 2 3 0 3

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Master of Science in Computer Science

Master of Science in Computer Science (MSCS) emphasizes comprehension and understanding of the principles and concepts needed for designing and formulating new tools for applications development as well as generating new knowledge in the field.

Students entering this degree program must have completed undergraduate courses that provide the mathematical foundations for mathematical logic, calculus, discrete mathematics, data structures, computer programming and data organizations.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
REMEDIAL COURSES (15 Units)
MITRC 012L1 Data Structures and Algorithms 2 3 (3)
MITRC 022L1 Computer Systems Organization 2 3 (3)
MISRC 032L1 Information Management and Database Systems 2 3 (3)
MITRC 042L1 Computer Programming 2 3 (3)
MCSRC 053 Discrete Structures 3 0 (3)

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CORE COURSES (15 Units)
MCSCC 123 Advanced Data Structures and Algorithm 3 0 3
MCSCC 133 Advanced Computer Organization and Architecture 3 0 3
MCSCC 153 Automata, Computability and Formal Languages 3 0 3
MSCSS 163 Language Translation and Execution 3 0 3
PSMDSSC 103 Applied Machine Learning 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
ELECTIVES COURSES (9 Units)
MCSELEC 213 Advanced Software Engineering 3 0 3
MCSELEC 223 Computer Vision and Image Processing 3 0 3
MCSELEC 233 Digital Signal Processing 3 0 3
MCSELEC 243 Networking and Communications 3 0 3
MCSELEC 263 Distributed Computer Systems 3 0 3
MCSELEC 273 Intelligent Systems 3 0 3
MCSELEC 283 Cryptography 3 0 3
MISCC 123 Human – Computer Interaction 3 0 3
MITCC 113 Platform Technologies 3 0 3
MITELEC 101 Special Topics 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CAPSTONE COURSES (6 Units)
MSCST 413 Thesis 1 3 0 3
MSCST 423 Thesis 2 3 0 3

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Master of Engineering

T.I.P.s’ masters degree program in Engineering aims to capacitate further students in the application of engineering theories and principles while addressing a more expanded context of several real-life business opportunities and challenges in the industry. The program offers advanced research and management cases that may enhance students’ skills apart from their technical expertise. The program shall be facilitated by qualified faculty-practitioners who are competent to provide the students sufficient grounds in theory and practice. It is designed to integrate the theories with project-based researches and actual modeling programs.

The areas of expertise shall include the following:

Master of Engineering with specialization in Civil Engineering (M.Eng. – CE)
Construction Engineering and Management
Structural Engineering

Master of Engineering with specialization in Computer Engineering (M.Eng. – CpE)
Microelectronics Engineering
System and Network Administration
Embedded Systems

Master of Engineering with specialization in Electrical Engineering (M.Eng. – EE)
Power Engineering

Master of Engineering with specialization in Electronics Engineering (M.Eng. – ECE)
Communications
Information and Computing Technologies

Master of Engineering with specialization in Industrial Engineering (M.Eng.- IE)
Production Engineering
Organization and Decision Systems

Master of Engineering with specialization in Mechanical Engineering (M.Eng.- ME)
Energy Engineering
Refrigeration and Air-conditioning
Power Plant Engineering

The curriculum itself is integrally designed to produce professional graduates who will be equipped to fulfill the functions/roles of an “Expert” in managing project teams and provide scientific solutions to engineering-related projects. The curriculum has been conceived to provide the required competencies for the students to become professionals for continued career growth and lifelong learning.

It is expected that candidates entering this graduate degree program have completed their engineering undergraduate (bachelors’ degree) or any allied bachelor’s degree and have significant industry preparations that exposed them to related engineering concepts and skills as well as the actual functional environment.

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Master in Logistics and Supply Chain Management

The Master in Logistics and Supply Chain Management program offers one of the best solutions to the demand for qualified logistics and supply chain professionals. The program is designed to provide students with graduate education that will enhance their management careers in the field of logistics and supply chain management. It will enable them to develop technology-rich supply chain architectures, adapt to rapid innovations in various supply chain designs, efficiently manage the supply base, know how to collaborate with partners through trust and common values, and create significant supply chain networks.

Students of the program will attain an enhanced understanding of the concepts and best practices in logistics and supply chain management as applied in the areas of manufacturing and supply chain operations, logistics and supply chain risks, strategic inventory management, transportation and carrier systems, strategic sourcing and procurement management, IT systems and supply chain integration, and management accounting and control.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
REMEDIAL COURSES (12 Units)
MLSRC 013 Principles of Logistics and Supply Chain Management 3 0 (3)
MLSRC 023 Warehousing Logistics 3 0 (3)
MLSRC 033 Managing Supply Contracts 3 0 (3)
MLSRC 043 Strategic Logistics Management 3 0 (3)

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CORE COURSES (24 Units)
MLSCC 113 Manufacturing and Supply Chain Operations 3 0 3
MLSCC 123 Management Accounting and Control 3 0 3
MLSCC 143 Supply Chain Risks Management 3 0 3
MLSCC 153 Project Management 3 0 3
MLSCC 163 Supply Chain Financial Management 3 0 3
MLSCC 173 Economic Analysis for Business Decisions 3 0 3
MLSCC 183 Strategic Sourcing and Procurement Management 3 0 3
MLSCC 193 Transportation and Carrier System 3 0 3
MLSCC 1A3 Strategic Inventory Management 3 0 3
MLSCC 1B3 Logistics and Supply Chain Analysis 3 0 3
MLSCC 1C3 Facility Design and Operations Management 3 0 3
MLSCC 1D3 External Supply Chain Transportation Risks 3 0 3
MLSCC 1E3 Finance and Performance Management 3 0 3
MLSCC 1F3 Information Technology in Supply Chain and Logistics 3 0 3
MLSCC 1H3 Collaboration Across the Supply Chain 3 0 3
MLSCC 1I3 Manufacturing Strategies 3 0 3
MLSCC 1J3 Special Topics in Supply Chain 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CAPSTONE COURSES (6 Units)
MLSCP 213 Capstone Project 1 3 0 3
MLSCP 223 Capstone Project 2 3 0 3

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Professional Science Master’s Degree in Construction Management

The PSM Degree in Construction Management program is composed of 36 credit units designed to provide students with a combination of science and engineering courses in construction management and professional courses in business, management and leadership. The program is intended to be taken in two years for full-time students and up to three years for part-time students.

The core courses provide the breadth of knowledge and skills that a construction manager needs. It also includes statistics, financial and marketing management courses, which give the students foundational knowledge of business/ marketing environment, statistical tools, money management, and administration of business organizations. In addition, it also focuses on the technical side of construction management from construction materials and methods, schedule and estimate, and contract management, and integrates professional courses like project management and leadership and ethics.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
REMEDIAL COURSES (10 Units)
PSMRC 101 Construction Methods and Project Management 3 3 4
PSMRC 102 Construction Materials and Testing 3 0 3
PSMRC 103 Internship 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
SCIENCE CORE COURSES (9 Units)
PSMSC 102 Construction Safety Management 3 0 3
PSMSC 103 Construction Sustainability 3 0 3
PSMSC 104 Advanced Construction Project Management 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
BUSINESS CORE COURSES (9 Units)
PSMBC 101 Construction Accounting, Cost Control and Finance 3 0 3
PSMBC 102 Leadership, Communication and Ethics 3 0 3
PSMBC 103 Quality and Risk Management 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
SCIENCE ELECTIVE COURSES (3 Units)
PSMSE 101 Advanced Construction Materials 3 0 3
PSMSE 102 Trends, Issues and Best Practices in Construction Management 3 0 3
PSMSC 101 Contract Management and Arbitration 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
BUSINESS ELECTIVE COURSES (3 Units)
PSMBE 101 Operations Research and Optimization Techniques 3 0 3
PSMBE 102 Construction Economics 3 0 3
PSMBE 104 Operating and Managing a Construction Organization 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CAPSTONE COURSES (6 Units)
PSMCP 200 Capstone Project 1 3 0 3
PSMCP 201 Capstone Project 2 3 0 3

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Professional Science Master’s (PSM) Degree in Data Science

Be a data scientist and an industry-desired professional.

With industries now relying on big data to come up with innovative solutions that will help them improve their operations, the need for professionals with an enhanced skill in data gathering, analysis, and interpretation is on the rise.

The Technological Institute of the Philippines (T.I.P.) meets the demand through Professional Science Master’s (PSM) Degree in Data Science. The graduates of this degree will be among a pool of needed expert professionals who can make sense of the data that management can act on to make better informed decisions.

    With PSM, you will learn to
  • Gather data
  • Turn big data into useful and actionable insights relevant to the industry
  • Solve real-world problems through carefully applied problem-solving skills
  • Contribute in the creation of more nimble, efficient and effective companies and industries

    What to expect?
  • Rigorous study in science and/or mathematics
  • Varied coursework in management, policy, law, or related fields
  • Development of professional and managerial skills such as writing, communications, and leadership
  • Opportunity to apply business, organizational, and technical skills through a final project developed in partnership with an industry partner.

    Why take PSM Degree in Data Science in T.I.P.?
  • It is the first and only Professional Science Master’s (PSM) Degree in Data Science in the National Capital Region (NCR).
  • Quality education while cost effective compared to other data science-related graduate programs.
  • It was developed with the assistance of the United States Agency for International Development (USAID) Science, Technology, Research and Innovation for Development (STRIDE).
  • The curriculum was benchmarked against the curricula of data science programs of US schools affiliated with the National Professional Science Master’s Association (NPSMA) of the United States ensuring its world-class quality.
  • Brought together in partnership with a learning-as-a-service provider across the Asia Pacific, CloudSwyft Global Systems, Inc. and a global technology and engineering company that provides solutions for customers in industrial, commercial and residential markets, Emerson Philippines.


CURRICULUM LEADING TO
PROFESSIONAL SCIENCE MASTER’S DEGREE IN DATA SCIENCE
EFFECTIVE SY 2020– 2021

Cat No. Descriptive Title Hours/Week Credit
REMEDIAL COURSES (9 Units) Lec Lab  
PSMDSRC 101 Statistics for Data Science 3 0 3
PSMDSRC 102 Data Management 3 0 3
PSMDSRC 103 Programming 3 0 3

Cat No. Descriptive Title Hours/Week Credit
SCIENCE CORE COURSES (12 Units) Lec Lab  
PSMDSSC 101 Data Mining 3 0 3
PSMDSSC 102 Data Visualization 3 0 3
PSMDSSC 103 Applied Machine Learning 3 0 3
PSMDSSC 104 Advanced Data Science 3 0 3

Cat No. Descriptive Title Hours/Week Credit
BUSINESS CORE COURSES (6 Units) Lec Lab  
PSMDSBC 101 Business Intelligence and Analytics 3 0 3
PSMDSBC 102 Project Management 3 0 3

Cat No. Descriptive Title Hours/Week Credit
SCIENCE ELECTIVE COURSES (3 Units) Lec Lab  
PSMDSSE 101 Decision Methods and Modeling 3 0 3
PSMDSSE 102 Deep Learning 3 0 3

Cat No. Descriptive Title Hours/Week Credit
BUSINESS ELECTIVE COURSES (3 Units) Lec Lab  
PSMDSBE 101 Data Quality, Control and Access 3 0 3
PSMDSBE 102 Special Topics in Data Science 3 0 3
PSMDSBE 103 Seminar in Professional Science Practice 3 0 3

Cat No. Descriptive Title Hours/Week Credit
CAPSTONE PROJECT (6 Units) Lec Lab  
PSMDSCP 200 Capstone Project 1 (Industry Immersion) 3 0 3
PSMDSCP 201 Capstone Project 2 3 0 3

                            TOTAL        30 Units




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