DIT University DIT University

M.Tech in Computer Science and Engineering

Eligibility

  • Passed in BE / B Tech(CS/IT/ECE/EE) or in MCA/ MSc(CSE/ IT/ECE/EE/Math) or equivalent with a minimum of 60% marks.
  • GATE/NET qualified students shall be preferred.

The Specialized Tracks are:

Admission Procedure

01

Candidates with a valid GATE (CS &IT)/UGC-NET Score: Personal interview. Candidates without a valid GATE (CS &IT)/UGC-NET Score: Personal interview.

Know More About Scholarships

About Program

Master of Technology (M. Tech) in Computer Science Engineering is a postgraduate program that equips students with advanced knowledge and skills in various realms of Computer Science Engineering (CSE). This program aims to equip students with comprehensive and in-depth knowledge of computer science concepts and rudiments, advanced algorithms, software engineering, computer networks, databases, and more. Typically, the course runs for two years, split into four semesters

The curriculum of the M. Tech in CSE program is structured to provide students with a solid theoretical foundation, practical knowledge and skills in the realm of technology. Recent advancements in the field of Computer Science Engineering have yielded significant breakthroughs in areas such as Artificial Intelligence, Machine Learning, and Data Science. The explosive growth of Artificial Intelligence and Machine Learning in recent years has resulted in many companies investing heavily in these technologies. The development of natural language processing and computer vision techniques has led to significant improvements in various applications such as speech recognition, image and video analysis, and autonomous driving, etc.

Should you be looking for the best M. Tech in CSE in AI colleges in Dehradun, DIT University is an ideal choice to consider. DIT University offers a comprehensive curriculum in the latest technologies. Pursuing an M. Tech in Computer Science Engineering can provide you with the advanced knowledge and skills necessary to excel in the rapidly evolving world of computer science. Whether you are interested in pursuing a career in AI or robotics, DIT University can help you achieve your aspirations.

With specialization in:

  • Artificial Intelligence, Machine Learning and Robotics
  • Data Science and Engineering
  • Internet of Things
  • Computer Vision and Biometrics
  • Artificial Intelligence and Data Science

Program Highlights

DIT
  • 68 credits program.
  • Advanced core and elective courses with latest curriculum and research trends.
  • Campus Placement in high-end companies and multinational research labs.
  • Students intending to pursue a Ph.D. after M.Tech can apply for the Thesis option rather than the Non-Thesis option. Alternatively, students will have the option to be fast-tracked to the Ph.D. program in the later part of the program after having completed a minimum of two semesters of the M.Tech Thesis program. Each fast-tracking application will be evaluated by a committee. Evaluation criteria will include excellent academic record with a passion for research.

Fee Structure

1st Year (2026-27)

Particulars Tuition Fees Academic Services Fee Total Fee

All India Category

1st Installment

46,500

25,050

71,550
 

2nd Installment

46,500

25,050

71,550

Uttarakhand/Himalyan State Quota (After 25% Scholarship on Tuition Fee)

1st Installment

34,875

25,050

59,925
 

2nd Installment

34,875

25,050

59,925

For detailed Program Fee Structure, please Click Here

Program Curriculum

M.Tech-CSE

Program Educational Objectives

PEO1

Computer Science and Engineering Graduates will be globally competent and provide sustainable solutions for modern challenges of Computer Engineering as team players.

PEO2

Graduates of Computer Science and Engineering will participate in professional activities with ethical practices in the field of Computer Science & Engineering to boost their own importance to contribute society with their entrepreneurship skills.

PEO3

Graduates of Computer Science and Engineering will attain domain specialize knowledge in trending technologies for innovation, research, and software product development.

Outcomes of the Program

PO1

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2

Problem Analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3

Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5

Modern tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

PO6

The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7

Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9

Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11

Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12

Life-Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcome

PSO1

Proficiency in Real life problem solving, Algorithm Design - Display proficient morals and actualize the ideas of Computer Science and building, Software Development, Problem illuminating strategy and Algorithm Design and execution with the cutting-edge innovation and contemporary aptitudes.

PSO2

Proficiency in core technical areas of Computer Science & Engineering: To present forthcoming areas like Big Data, Cloud Computing, Artificial Intelligence, Robotics, Data examination, IoT and Machine Learning to create bits of knowledge for critical thinking.

PSO3

Proficiency in program Design and coding and analyses / interprets data: Execute and connect hypothetical learning by program improvement, investigation of issue and break down/translate the outcomes for fitting decisions and suggestions to a certifiable programming designing issue with a noteworthy point of view of modern, cultural and genuine world.

Additional Scholarship for:
Sibling Siblings of current Students / Alumnus (The scholarship shall be applicable only for first year) 5%
Ward of Single Mother Scholarship for Ward of Single Mother
(To continue the scholarship, the student should maintain a CGPA 7.0 and above every year, without any back paper, UFM and Indiscipline case)		 5%
Both Parents are not Alive Scholarship for the Orphan Student
(To continue the scholarship, the student should maintain a CGPA 7.0 and above every year, without any back paper, UFM and Indiscipline case)		 5%
Differently Abled Scholarship for Differently Abled Student
(To continue the scholarship, the student should maintain a CGPA 7.0 and above every year, without any back paper, UFM and Indiscipline case)		 5%
Sports Scholarship on the basis of performance in Sports.(The scholarship shall be applicable only for first year) Please refer the policy document

For detailed Scholarship Policy Click Here

Notes

  • Online Registration is Mandatory.
  • In addition to above Fee, Rs.10,000/- Admission Fee (Non-Refundable) and Rs. 5,000 Caution Money (Refundable) will be charged at the time of admission.
  • Industrial Tour Fee Rs. 25,000/- (on one semester during entire course duration)
  • All the above Scholarships are applicable only on the Program Tuition Fee.
  • Only one type of scholarship can be given, students can opt for the higher %age of scholarship.
  • Scholarship cannot be more than 100% of Tuition fee.

FAQs

The primary difference between the two is that Computer Science centers around software, programming, algorithms and data, whereas Computer Engineering incorporates Computer Science with the area of electronics, and centers on hardware, systems and embedded technologies.

Computer Science and Engineering is a branch of engineering that gives detailed knowledge of computer programming, computer hardware and software, and emerging technologies. This program gives students the knowledge of data structures, database, networking, operating system, compiler design, software engineering, etc. In this program the emerging area related to computer science are also explored such as AIML and Robotics, Data Science and Analytics, Full Stack and DevOps, Cyber Security and Privacy, Cloud Computing and Blockchain, IoT and Edge Computing, and Chip Design. The student aquires the abilities such as logical thinking, problem solving, technical and professional skills, research aptitude, etc. These skills are developed with the help of practical labs, projects, technical and professional training, internships, coding hackathons, open-houses, workshops, seminars, research problems, conferences, etc. After the completion of this degree the graduates can pursue their career in the field of IT, security, programing, software developmet, full stack development, front end development, server side development, DevOps engineer, Data Analyst, etc.

Yes, you can pursue M.Tech after B.Sc CS, but it is not the usual route. Most of the times, you should complete an M.Sc or MCA first, or then get admitted via some entrance exam (for eg. GATE) as per institute policy. There are few universities which have a lateral or integrated route.

Yes, you can do M.Tech in Computer Science after Mechanical Engineering, but this totally depends on the colleges' criteria. So many colleges permit it if you get qualifying score in GATE (Computer Science) or any other condition as per college. Still you should try to strengthen your base in programming and CS concepts.

Yes, you can do M.Tech in Computer Science after Electrical Engineering as many institutes permit to pursue this degree in related branches of engineering. You will be required to take tests like GATE (Computer Science) and have basic knowledge in computer fundamentals and programming.

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