• Aim

    The Master of Science/Philosophy in Information Technology (MSc./MPhil IT), with specialties in:

    • Business Intelligence & Data Analytics
    • Information Assurance
    • Data Management
    is designed to meet the increasing demand in the workplace for IT professionals with a broad and sound knowledge of both the technical and managerial skills. This programme is designed for IT professionals with growing experience in the workplace.

  • Programme Structure

    The MSc./MPhil IT programme is structured around core courses, specialization electives, and a research/project component.

    Core Courses

    COURSE CODECOURSE NAMETPCREDIT HOURS
    CICS 513OBJECT-ORIENTED PROGRAMMING WITH JAVA313
    CICS 510ADVANCED ALGORITHMS AND DATA STRUCTURES313
    CICS 502NETWORK & INFORMATION SECURITY313
    CICS 501DATABASE MANAGEMENT SYSTEMS I313
    CICS 541IT INFRASTRUCTURE313
    CIIS 521IT SYSTEMS ANALYSIS, MODELING, & DESIGN313
    CIIS 531ENTERPRISE INFORMATION SYSTEMS313
    CIIS 532IT PROJECT AND CHANGE MANAGEMENT313
    CIIS 534IT GOVERNANCE313
    CIIS 582RESEARCH METHODS313

    Specialization Courses

    A. Business Intelligence & Data Analytics

    CIIS 542DECISION SUPPORT AND BUSINESS INTELLIGENCE313
    CIIS 601BIG DATA MINING AND ANALYTICS313
    CIIS 632MANAGEMENT DECISION MODELING AND ANALYTICS313
    CIIS 691MASTERS THESIS/PROJECT155

    B. Information Assurance

    CIIS 602INTRODUCTION TO INFORMATION ASSURANCE313
    CIIS 682SECURITY POLICY, LAW, & ETHICS313
    CICS 511RISK MANAGEMENT & DISASTER RECOVERY PLANNING313
    CIIS 691MASTERS THESIS/PROJECT155

    C. Data Management

    CICS 502DATABASE MANAGEMENT SYSTEMS II313
    CIIS 601BIG DATA MINING AND ANALYTICS313
    CICS 603DATABASE SECURITY & DATA PROTECTION313
    CIIS 691MASTERS THESIS/PROJECT155

    Semester-by-Semester Schedule

    Semester 1

    • IT INFRASTRUCTURE
    • IT SYSTEMS ANALYSIS, MODELING, & DESIGN
    • ENTERPRISE INFORMATION SYSTEMS
    • OBJECT-ORIENTED PROGRAMMING WITH JAVA
    • SPECIALIZATION COURSE 1 (SP1)
    • RESEARCH METHODS

    Semester 2

    • IT PROJECT AND CHANGE MANAGEMENT
    • IT GOVERNANCE
    • ADVANCED ALGORITHMS AND DATA STRUCTURES
    • NETWORK & INFORMATION SECURITY
    • DATABASE MANAGEMENT SYSTEMS
    • SPECIALIZATION COURSE 2 (SP2)
    • SPECIALIZATION COURSE 3 (SP3)
    • MASTERS THESIS/PROJECT

  • General Admission Requirements

    • Applicants must hold a bachelor’s degree in Computer Science, Information Technology, Computer or Telecommunication Engineering, or equivalent ICT-related discipline from a recognized institution.
    • Preference will be given to applicants with a First Class or Second-Class Division.
    • Applicants must submit two referees, one of whom must be an academic lecturer from their undergraduate programme.
    • Applicants with business-related degrees but foundational ICT backgrounds will be considered on a case-by-case basis.

  • Programme Objectives

    • Develop a critical understanding of advanced theoretical knowledge, methods, and concepts of information technology required to support business activities and operations.
    • Provide specialized technical and practical skills for planning, designing, and managing complex IT systems to solve real-world problems.
    • Develop transferable and professional skills to broaden employment opportunities in IT-related fields.
    • Equip students with advanced research skills to develop innovative IT solutions using diverse tools and technologies.
    • Prepare students to adapt to evolving technological environments through a solid understanding of fundamental theories and current practices.

    Specialization-Specific Objectives

    • Business Intelligence & Data Analytics: Equip students to collect, store, analyze, and mine structured and unstructured data using IT tools to provide competitive advantage.
    • Information Assurance: Train students to identify, develop, and implement robust defense mechanisms for securing networks and information assets.
    • Data Management: Develop capacity to organize, secure, and communicate data effectively to integrate IT solutions and meet enterprise information needs.

  • Graduates will be prepared for leadership roles as IT Consultants, Data Scientists, Cybersecurity Analysts, Systems Architects, or Database Administrators in both local and international industries.

  • Fee details and available financial aid options will be provided by the GCTU Graduate Admissions Office.

  • Programme start dates, admission deadlines, and other key dates will be published on the Graduate School’s official website.

  • Apply Online