Maharishi Markandeshwar University

Maharishi Markandeshwar University

Ambala, Haryana
|
4.5 Ratings
|
Private|Estd. 2010

Written By Aliya Khan

Updated on – 13 Oct, 2025

B.Tech in CSE (Big Data & Analytics) at Maharishi Markandeshwar University (MMU) 

Maharishi Markandeshwar University (MMU) is a prestigious institution known for its innovative academic programs and state-of-the-art infrastructure. The university offers a wide array of undergraduate, postgraduate, and doctoral programs, providing quality education to students from all over India. One of the standout courses offered by MMU is the B.Tech in Computer Science & Engineering (with Specialization in Big Data & Analytics), which aims to equip students with the knowledge and skills required to excel in the rapidly growing field of data science, analytics, and computer engineering.

B.Tech in CSE (Big Data & Analytics) Course Overview

Course Name: B.Tech in Computer Science & Engineering (with Specialization in Big Data & Analytics)
Duration: 4 Years
Course Fee: 1,28,500 per year

The course is designed to provide students with a strong foundation in the core principles of computer science and engineering, while also offering in-depth knowledge of Big Data and Analytics. This combination makes it ideal for those who are keen on exploring the vast potential of data processing, machine learning, artificial intelligence, and other data-driven technologies.

Eligibility Criteria for B.Tech in CSE (Big Data & Analytics)

To be eligible for admission to the B.Tech in Computer Science & Engineering (with Specialization in Big Data & Analytics) program, candidates must meet the following criteria:

  • Educational Qualifications:
    • 10+2 examination with Physics, Mathematics, Chemistry/Biology/Biotechnology/Computer Science, and English with at least 60% marks (40% for SC/ST candidates).
    • Diploma in a related discipline with at least 60% marks (40% for SC/ST candidates).
    • A valid score in JEE Main.
    • Diploma or B.Sc in a related discipline with 60% marks (40% for SC/ST candidates).

Selection Process

The selection process for this program involves two main steps:

  1. Eligibility Check: Applicants must ensure they meet the eligibility criteria outlined above.
  2. Entrance Exam: Students must appear for JEE Main and achieve a valid score. Based on their performance in the entrance exam, candidates will be shortlisted for the counseling process.

Once selected, candidates will need to undergo counseling, after which they will be allotted seats in the program.

B.Tech in CSE (Big Data & Analytics) Course Structure and Curriculum

The course spans four years, with each year having its own set of core and elective subjects. Students will learn various topics ranging from programming languages, software development, to the intricate details of Big Data technologies and analytics tools.

First Year

The first year focuses on building a strong foundation in mathematics, physics, computer programming, and basic engineering concepts.

Subject CodeSubject NameCredits
CSE101Mathematics I4
CSE102Physics I3
CSE103Engineering Chemistry3
CSE104Introduction to Programming4
CSE105English for Communication2
CSE106Engineering Mechanics3
CSE107Basic Electrical Engineering3
CSE108Environmental Science2

Second Year

In the second year, students start to delve deeper into computer science subjects, including data structures, algorithms, and digital logic design. They will also gain initial exposure to Big Data technologies.

Subject CodeSubject NameCredits
CSE201Data Structures and Algorithms4
CSE202Discrete Mathematics3
CSE203Computer Organization and Architecture4
CSE204Database Management Systems3
CSE205Object-Oriented Programming4
CSE206Probability and Statistics3
CSE207Computer Networks3

Third Year

The third year focuses on Big Data, Analytics, and advanced computing technologies. Students will work on real-world case studies and start developing hands-on skills.

Subject CodeSubject NameCredits
CSE301Big Data Technologies (Hadoop, Spark)4
CSE302Data Analytics and Visualization3
CSE303Software Engineering3
CSE304Cloud Computing4
CSE305Artificial Intelligence3
CSE306Operating Systems3
CSE307Web Development and Mobile Computing3

Fourth Year

The final year will focus on project work, research, and elective courses. Students will apply the knowledge gained throughout the program to solve complex problems in Big Data and Analytics.

Subject CodeSubject NameCredits
CSE401Advanced Data Analytics and Machine Learning4
CSE402Data Mining and Predictive Analytics4
CSE403Capstone Project8
CSE404Elective I: Blockchain Technology3
CSE405Elective II: Cybersecurity3

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