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B.Tech — Computer Science & Engineering

Computer Science students in the programming laboratory
4 Years · 8 Semesters 180 Seats English AKTU Affiliated 4.9 (412 reviews)

Programme Overview

The Bachelor of Technology in Computer Science & Engineering is MIT's largest and most competitive programme. It follows the AKTU outcome-based curriculum, extended with department electives that we revise every year in consultation with our recruiting partners — which is why topics like containerisation, MLOps and system design entered the syllabus before they appeared in the university model curriculum.

The structure is deliberate. The first year builds mathematical and programming fundamentals for a cohort that mostly arrives from Hindi-medium schooling. Years two and three go deep into the core — data structures, operating systems, databases, networks, theory of computation. The fourth year is largely project and industry work: a six-month internship, a capstone build, and electives chosen by specialisation track.

Every CSE student graduates having shipped at least three working systems — a mini-project, a capstone and one internship deliverable — not just a folder of lab records.

What You Will Learn

  • Programming in C, C++, Java and Python
  • Data structures & algorithm design
  • Operating systems and computer architecture
  • Database systems and query optimisation
  • Computer networks and network security
  • Full-stack web and mobile development
  • Machine learning and data science
  • Cloud infrastructure and DevOps
  • Software engineering and system design
  • Professional communication and teamwork

Curriculum — Year by Year

Common to all engineering branches, preceded by a compulsory three-week bridge course in technical English, mathematics revision and introductory programming.

  • Engineering Mathematics I & II
  • Engineering Physics & Chemistry
  • Programming for Problem Solving (C)
  • Basic Electrical Engineering
  • Engineering Graphics & Design
  • Professional Communication
  • Environmental Studies
  • Workshop & Programming Labs

The year the degree really begins. Training & Placement sessions also start in semester four — weekly aptitude tests and fortnightly group discussions.

  • Data Structures & Algorithms
  • Object-Oriented Programming (Java)
  • Discrete Mathematics
  • Computer Organisation & Architecture
  • Database Management Systems
  • Operating Systems
  • Theory of Automata & Formal Languages
  • Mini-project I + summer internship

Students choose a specialisation track and take their first department electives.

  • Design & Analysis of Algorithms
  • Computer Networks
  • Software Engineering
  • Compiler Design
  • Machine Learning (compulsory)
  • Web Technology & Full-Stack Lab
  • Department Elective I & II
  • Mini-project II + second internship

Semester eight is spent almost entirely off campus on a six-month industry internship, which converts into a pre-placement offer for roughly a third of the batch.

  • Distributed Systems & Cloud Computing
  • Cryptography & Network Security
  • Department Elective III & IV
  • Open Elective (any department)
  • Capstone Project (two semesters)
  • Six-month industry internship
  • System design & interview preparation
  • Seminar & technical writing

Specialisation Tracks

Artificial Intelligence & Data Science

Deep learning, computer vision, NLP and MLOps, taught in the Centre of Excellence lab on GPU workstations.

Cloud & DevOps

Containers, Kubernetes, CI/CD and infrastructure-as-code, with subsidised AWS and Azure certification attempts.

Cybersecurity

Applied cryptography, ethical hacking, digital forensics and secure software development practices.

Full-Stack Product Engineering

Modern JavaScript frameworks, API design, databases at scale and product-oriented system design.

Laboratories You Will Use

  • Programming & DSA lab (120 terminals)
  • AI/ML lab with GPU workstations
  • Networking & security lab
  • Cloud & DevOps sandbox cluster
  • IoT and embedded prototyping lab
  • Project studio open until 10 PM

Careers & Placement

CSE is our strongest placement branch. In the 2025 cycle, 98% of eligible CSE students received at least one offer, with a median package of ₹6.4 LPA and a highest of ₹24 LPA.

  • Software Development Engineer
  • Data Analyst / ML Engineer
  • Cloud / DevOps Engineer
  • Cybersecurity Analyst
  • QA & Automation Engineer
  • Systems / Database Administrator
  • Higher study — M.Tech, MS, MBA
  • Founder via the MIT-Ignite incubator

Recruiters for this branch: TCS, Infosys, Wipro, Cognizant, HCL, Tech Mahindra, Amazon, Paytm, Zoho, Josh Technology, Newgen and 90 more.

Faculty for This Programme

Dr. Anjali Verma
Dr. Anjali Verma
HOD — Computer SciencePh.D. CSE (NIT Kurukshetra) · 18 yrs
Dr. Imran Qureshi
Dr. Imran Qureshi
Associate Professor — AI/MLPh.D. (IIIT Allahabad) · 11 yrs
Ms. Pooja Bansal
Ms. Pooja Bansal
Assistant Professor — CSEM.Tech CSE (Thapar) · 8 yrs

Frequently Asked Questions

No. The majority of each intake writes their first line of code here. The bridge course and first-semester programming lab assume zero background, and tutorial groups are capped at 20 students so nobody is left behind.

Recommended from year two, but not mandatory. The programming lab has 120 terminals and the project studio stays open until 10 PM. Students who need a machine can apply for the institute's interest-free laptop instalment scheme.

Branch change is possible at the end of year one under AKTU rules, subject to your first-year CGPA and seat availability. CSE is the most requested branch, so the effective cut-off is high — usually a CGPA above 8.5.

The semester-eight internship is a curriculum requirement and the placement cell places every eligible student, though not always at their first-choice company. Students who prefer to build their own product may substitute an approved MIT-Ignite incubation project.

180 Seats. Applications Close 31 August.

Scholarships of up to 100% for JEE rank holders and district toppers.