About M.Sc. (IT)

The M.Sc. (Information Technology) is a full-time, two-year postgraduate program designed for individuals aspiring to build a strong foundation in modern computing. The program provides a comprehensive understanding of IT technologies with a balanced emphasis on core computer science theories and their practical application to solve real-world problems.

Developed with valuable input from industry professionals, the curriculum is regularly updated to reflect current technologies and employment trends. It covers a broad range of contemporary topics and is structured to support students in pursuing career opportunities or advanced research in computing and IT-related domains.

The program offers specialization tracks in Data Analytics & AI and Full Stack Development, catering to the evolving needs of the IT industry. On successful completion, graduates acquire advanced technical skills and professional competencies required to excel in IT-related careers.


Programme Objectives

The M.Sc. (IT) programme focuses on the following objectives:
  • Demonstrate knowledge to apply of mathematics and science in the field of Information Technology.
  • Demonstrate an ability to identify, formulate and solve problems of Information Technology using relevant knowledge.
  • Demonstrate an ability to design an application software, graphical user interface and other relevant software components as per given requirements and specifications.
  • Demonstrate an ability to analyse, formulate and improve solutions to any real time problem in the field of Information Technology and Computer Science.
  • Demonstrate skills to use latest software and hardware technologies as per the recent trends in the IT and software industry.
  • Be able to assess societal, health, safety, legal and cultural issues in context of professional practice in Computer Science & Information Technology.
  • Show the understanding of the impact of software engineering solutions in a global, economic, environmental and societal context.
  • Demonstrate knowledge of professional responsibilities and commit to professional ethics.
  • Demonstrate ability to work both as individual, team player or group leader in achieving a common goal.
  • Be able to communicate effectively verbally as well as in writing with wide range of audiences.
  • Be able to apply principles of software engineering and management to manage projects in multidisciplinary environments.
  • Acquire knowledge and capacity for self-education to adapt to the new and upcoming IT technologies, enabling to become a life-long learner.


Career Prospects

MSc IT Career Prospects


Admission Process

  • Admissions will be given based on score obtained in graduation and personal interview.
  • Candidates who have appeared in the final year examination can also apply.
  • GLS University reserves the right to make any exception in the above rules without any notice. However, in case of any doubt regarding interpretation of any clause, the decision of the University authorities shall be final.
  • Allocation for SC, ST, SEBC etc. categories will be as per the rules of the University and State Government of Gujarat prevailing at the time of admissions.


Eligibility Criteria

The candidate should have passed any of the qualifying examination as mentioned during the current year:
  • Bachelor's Degree in Computer Science | Computer Applications | Information Technology
  • Bachelor's Degree in Engineering or Technology
  • Bachelor's Degree in Science | Commerce | Business Administration
  • Any Bachelor's Degree + PGDCA from UGC recognized University


Pedagogy

A variety of methods, including lectures, presentations, webinars, hands-on sessions, workshops, MOOCs, interactive discussions, study tours, and industry projects, are utilized to strengthen students' conceptual understanding, analytical skills, knowledge acquisition, and decision-making abilities, preparing them to meet the challenges of the professional world. The pedagogy also incorporates case studies, group collaborations, peer learning, flipped classrooms, and real-time simulations to promote active engagement and critical thinking. Instruction takes place in well-maintained classrooms and computer labs that are regularly sanitized to ensure a conducive learning environment.


Live Projects

Though classroom learning is given emphasis at FCAIT-PG, M.Sc. (IT) Programme, students are required to undertake a number of practical projects in the different courses of the programme for which the information gathered from business/industry is analyzed and presented in the form of reports.


Capstone Project

Every student in the final semester of the programme is required to undertake a live full time project assignment in the industry. A student chooses a topic on which primary data is gathered and analyzed in order to prepare a working system, for which he/she is supposed to work in the industry for 6 months. At the end of the duration a project report for the same is prepared that is evaluated by a panel of experts.


Curriculum w.e.f. - June 2025

Semester I Semester II
  • Data Structures & Algorithm
  • Object Oriented Analysis and Design
  • Cyber Security and Cyber Law
  • Database Architecture and Design
  • Practicals of Object-Oriented Programming using Python
  • Practicals of Database Architecture and Design
  • Capstone Project - I
  • Cloud and Web Services
  • Artificial Intelligence & Machine Learning
  • Computer Networks
  • Practicals of Artificial Intelligence & Machine Learning
  • Capstone Project - II
  • Track - Data Analytics & AI
    • Statistics for Data Analytics
    • Practicals of Data Analytics & Visualization
    • Practicals of Distributed File System
  • Track - Full Stack Development
    • UI/UX Design
    • Practicals of Web Programming using Python
    • Practicals of Mobile Application Development using Flutter
Semester III Semester IV
  • Distributed Ledger Technology
  • Software Engineering
  • Career Skills Development
  • Track - Data Analytics & AI
    • Natural Language Processing & Image Processing
    • Deep Learning
    • Practicals of Deep Learning
    • Practicals of NLP & Image Processing
  • Track - Full Stack Development
    • Progressive Web Apps
    • Mobile Computing Fundamentals
    • Practicals of Mobile Application Development in iOS
    • Practicals of MERN
  • Industry Internship in Chosen Specialization