

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:
- Eligibility Check: Applicants must ensure they meet the eligibility criteria outlined above.
- 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 Code | Subject Name | Credits |
|---|---|---|
| CSE101 | Mathematics I | 4 |
| CSE102 | Physics I | 3 |
| CSE103 | Engineering Chemistry | 3 |
| CSE104 | Introduction to Programming | 4 |
| CSE105 | English for Communication | 2 |
| CSE106 | Engineering Mechanics | 3 |
| CSE107 | Basic Electrical Engineering | 3 |
| CSE108 | Environmental Science | 2 |
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 Code | Subject Name | Credits |
|---|---|---|
| CSE201 | Data Structures and Algorithms | 4 |
| CSE202 | Discrete Mathematics | 3 |
| CSE203 | Computer Organization and Architecture | 4 |
| CSE204 | Database Management Systems | 3 |
| CSE205 | Object-Oriented Programming | 4 |
| CSE206 | Probability and Statistics | 3 |
| CSE207 | Computer Networks | 3 |
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 Code | Subject Name | Credits |
|---|---|---|
| CSE301 | Big Data Technologies (Hadoop, Spark) | 4 |
| CSE302 | Data Analytics and Visualization | 3 |
| CSE303 | Software Engineering | 3 |
| CSE304 | Cloud Computing | 4 |
| CSE305 | Artificial Intelligence | 3 |
| CSE306 | Operating Systems | 3 |
| CSE307 | Web Development and Mobile Computing | 3 |
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 Code | Subject Name | Credits |
|---|---|---|
| CSE401 | Advanced Data Analytics and Machine Learning | 4 |
| CSE402 | Data Mining and Predictive Analytics | 4 |
| CSE403 | Capstone Project | 8 |
| CSE404 | Elective I: Blockchain Technology | 3 |
| CSE405 | Elective II: Cybersecurity | 3 |
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