B.Sc. IT (Dual Specialization)/ B.Sc. IT (Hons.)/ Integrated M.Sc. IT

B.Sc. IT (Dual Specialization)/ B.Sc. IT (Hons.)/ Integrated M.Sc. IT

Integrated Master of Science (IT)

About B.Sc. IT (Dual Specialization)/ B.Sc. IT (Hons.)/ Integrated M.Sc. IT

The B.Sc. IT (Dual Specialization), B.Sc. IT (Honours), and Integrated M.Sc. IT programmes provide students with a strong foundation in core Information Technology concepts, complemented by hands-on skills in analysis, conceptualization, and system design. Through these programmes, students develop proficiency in modern software design and development tools, preparing them for both technical and managerial roles in the IT industry. Imminent Specialization Tracks of Artificial Intelligence & Machine Learning and Cyber Security equip students with future – oriented career paths.

The curriculum is thoughtfully structured to meet the dynamic and evolving demands of the IT sector. Graduates are well-equipped to pursue diverse career paths, including roles such as data analysts, network architects, computer programmers, technical writers, research associates, and other IT professionals. A key strength of these programmes lies in their strong focus on experiential learning, achieved through an effective blend of theoretical instruction and practical laboratory work. This immersive learning approach allows students to apply classroom concepts to real-world situations, thereby strengthening their understanding and enhancing their practical competencies in Information Technology.

Career Prospects

AI & ML Engineer

AI & ML Engineer

Develops intelligent systems using artificial intelligence and machine learning algorithms. Strong career growth in automation, predictive analytics, and smart applications.

Cyber Security Engineer

Cyber Security Engineer

Safeguards computer systems and networks by preventing, detecting, and responding to cyber threats.

Robotics Engineer

Robotics Engineer

Designs, builds, and maintains robotic systems for industries such as manufacturing, healthcare, and automation. Strong demand in AI-driven robotics and smart factories.

Full Stack Developer

Full Stack Developer

Develops complete web applications by working on both front-end and back-end technologies. High demand across startups and enterprises for scalable digital solutions.

Data Scientist

Data Scientist

Analyzes large datasets to extract insights using statistics, machine learning, and visualization tools. Widely employed in finance, healthcare, e-commerce, and research sectors.

Network Security Engineer

Network Security Engineer

Protects networks and systems from cyber threats through security protocols and monitoring. Critical role due to increasing cyberattacks and data privacy requirements.

Eligibility

Duration

Duration

in accordance with NEP guidelines

Eligibility Criteria

Eligibility Criteria

  • Candidates shall have passed H.S.C. (10+2 or its equivalent) from a recognized board.
  • English must be a compulsory subject.
  • One of the following subjects must also be included: Mathematics, Physics, Statistics, Business Mathematics, Elements of Accountancy, Elements of Book Keeping, Computers.
  • Minimum of 45% marks required for the Open category.
  • Minimum of 40% marks required for the Reserved category
Mode of Admission

Mode of Admission

To apply for admission, please visit our official portal and complete the registration process.

Admission will be granted upon successful completion of the application requirements and fulfillment of the eligibility criteria.

Academic Activities

Achievements

Events

Seminar on Swarm Intelligence
Jan 2026

Seminar on Swarm Intelligence: The New Frontier in Problem-Solving

A technical seminar on “Swarm Intelligence: The New Frontier in Problem-Solving” was organized by the Faculty of Computer Applications and Information Technology (FCAIT), GLS University, and delivered by Prof. Anjali Bobra. The seminar introduced students to the principles of swarm intelligence, inspired by the collective behavior of social organisms, and explained key algorithms such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Artificial Bee Colony (ABC). Prof. Bobra demonstrated applications in network optimization, robotics, scheduling, traffic management, and machine learning, highlighting both advantages like scalability and adaptability, and limitations such as computational costs. Interactive discussions and real-world examples engaged students, bridging theory with practice and motivating them to explore projects and research in this innovative AI domain.