M.Sc. Information Technology

A Master of Science (M.Sc.) in Information Technology is a postgraduate academic degree program that focuses on advanced studies in the field of information technology (IT). This program is designed to provide students with a deep understanding of various aspects of IT, including software development, database management, networking, cybersecurity, and information systems.

Studying for a Master's in Information Technology (IT) can offer several significant advantages, both in terms of personal and professional development. Here are some key reasons why pursuing a Master's in Information Technology can be important:

duration

2 Years

Programme type

Full time

Programme Regulations

2024-25

Eligibility Criteria

Candidates should have passed with a minimum of 50% marks (45% in case of SC/ST candidates) in B.Sc - Comp. Science / BCA /B.Sc. – IT / B.Sc. - CT or equivalent examination from a recognized university preferably with mathematics at 10+2 level or at Graduation level.

Key Features

Offering in-depth knowledge of advanced data science techniques, including machine learning, deep learning, and big data technologies.
Providing practical experience in managing large datasets and deriving insights using tools like Hadoop, Spark, and TensorFlow.
Developing the ability to apply data science methodologies to solve complex problems in various industries, including finance, healthcare, and retail.
Preparing graduates for high-level roles as data scientists, machine learning engineers, and data consultants.
Cultivating research skills, enabling students to contribute to innovations in data science and AI.
Equipping students for further academic research (PhD) or advanced certifications in areas such as AI, data engineering, or specialised fields of data science.
Promoting teamwork, communication, and project management skills through collaborative projects and internships.

Scope and Objectives

An MSc in IT with a specialization in Data Science prepares graduates for high-level careers in data science, analytics, and machine learning. The program covers advanced topics such as deep learning, big data technologies, statistical modeling, and artificial intelligence. Graduates can pursue careers as data scientists, machine learning engineers, or data consultants in industries like finance, healthcare, e-commerce, and telecommunications.

The program also equips students with research skills, enabling them to contribute to cutting-edge innovations in data science. With the growing reliance on data-driven strategies across industries, the demand for data science professionals is expected to rise. Graduates may also pursue doctoral studies or certifications in specialized areas like AI or data engineering.

To offer in-depth knowledge of advanced data science techniques, including machine learning, deep learning, and big data technologies.
To provide practical experience in managing large datasets and deriving insights using tools like Hadoop, Spark, and TensorFlow.
To develop the ability to apply data science methodologies to solve complex problems in various industries, including finance, healthcare, and retail.
To prepare graduates for high-level roles as data scientists, machine learning engineers, and data consultants.
To cultivate research skills, enabling students to contribute to innovations in data science and AI.
To prepare students for further academic research (PhD) or advanced certifications in areas such as AI, data engineering, or specialized fields of data science.
To promote teamwork, communication, and project management skills by engaging students in collaborative projects and internships.

Programme Structure

SEMESTER I

Advanced Java Programming
Relational Database Management Systems
Data Analytics
Artificial Intelligence
Practical Learning Experience
Advanced Java Lab
RDBMS Lab

Practical Learning Experience

Advanced Java Lab
RDBMS Lab

SEMESTER II

- Mobile Computing
- Software Project Management
- Python Programming
- Cyber Security and Ethical Hacking
- Research Methodology
Practical Learning Experience
- Mobile Computing Lab
- Python Lab
- Research Publication

SEMESTER III

- Machine Learning
- Pattern Recognition
- Natural Language Processing
- Cyber Forensics
- Block Chain Technology
Practical Learning Experience
- Machine Learning Lab
- Cyber Forensics Lab

SEMESTER IV

Cloud Management
Virtual Reality and Augmented Reality
Project Documentation and Viva-voce

Programme Assessment

Choice-Based Credit System (CBCS): The university follows CBCS, which allows students to choose courses and earn credits based on their performance
Grades and GPA: Students are awarded grades for each course in a semester, and their Semester Grade Point Average (SGPA) is calculated to measure their academic performance. Cumulative Grade Point Average (CGPA) is used to evaluate the overall performance of a student across all semesters.
Prescribed Curriculum: Each program has a prescribed curriculum or Scheme of Teaching and Evaluation, which includes the required courses, laboratories, and other degree requirements. It also incorporates SWAYAM and Massive Open Online Courses (MOOCs) offered by reputed institutions.
Auditing Courses: Students have the option to audit courses, which allows them to gain additional exposure without the pressure of obtaining a grade. This can give them an advantage in placements.
Evaluation System: The evaluation of students is comprehensive and continuous throughout the semester. It consists of Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE carry equal weightage of 50% each, resulting in a total evaluation of 100 marks for each course, regardless of its credit value.
Assessment Methods: Before each semester, faculty members may choose assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., with suitable weightage for each.
Semester End Examination: A Semester End Examination is conducted for all registered courses at the end of each semester. However, some courses that already have Continuous Internal Evaluation may not require a SEE. Makeup Examinations: Students who fail the Semester End Examination in one or more courses are eligible for makeup examinations, which provide an opportunity to retake the failed exams and improve their grades.

Programme Outcome

PO1: Develop the ability to analyze a problem, and identify and define the computing requirements, which may be appropriate to its solution.
PO2: Learners are encouraged to apply their knowledge of mathematics and science fundamentals to various solutions to complex problems.
PO3: Well-equipped with an understanding of the analytical methods involved, they are in a position to interpret and analyze results obtained from experiments and draw suitable conclusions against their supported data acquired.
PO4: Apart from the attainment of knowledge and hands-on skills in practical applicability of the subject, learners need to be equipped with soft skills and values that will help them function effectively as individuals, and as members or leaders in diverse teams and multidisciplinary groups.
PO5: The learner is encouraged to use various mathematical methods (analytical and numerical) and experimental methods as an application to the acquired concepts and principles that help in studying various branches of sciences.

Course Outcomes

MSc (IT-DS) Course Outcomes

What expertise will you gain?

Advanced programming skills in languages such as Java, C#, or Python

Knowledge of software engineering principles and methodologies

Proficiency in database management systems and SQL

Understanding of computer networks and cybersecurity

Project management and software development lifecycle skills

Career Opportunity

Software developer
Database administrator
Systems analyst
Software engineer
IT project manager
Mobile application developer

Placements at

CMR University

200+ Recruiters, Pre-Placement modules from first semester focus on employability, emphasis on experiential learning, extensive focus on Internships, Training for competitive examinations – CAT, GRE, TOEFL, CMAT, Bank PO, and more.

Testimonials

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."