Maharishi Markandeshwar University
B.Tech in CSE (AI & ML) at Maharishi Markandeshwar University MMU
Maharishi Markandeshwar University (MMU) offers a dynamic and industry-relevant B.Tech program in Computer Science & Engineering (CSE) with a specialization in Artificial Intelligence (AI) & Machine Learning (ML). This undergraduate program is designed to equip students with the essential skills and knowledge required to excel in the rapidly evolving field of AI and ML. AI and ML have become cornerstones of modern technological advancements, and professionals skilled in these domains are highly sought after across industries.
B.Tech in CSE (AI & ML) Course Details
University Name: Maharishi Markandeshwar University
Course Name: B.Tech in Computer Science & Engineering with Specialization in Artificial Intelligence & Machine Learning
Duration: 4 Years
Course Fee: 128,500 per year
Mode of Study: Full-time
Eligibility Criteria for B.Tech in CSE (AI & ML)
The eligibility criteria for admission into the B.Tech in CSE with a specialization in AI & ML are as follows:
| Eligibility Criteria | Details |
|---|---|
| Academic Qualification | 10+2 with Physics, Mathematics, Chemistry/Biology/Biotechnology/Computer Science, and English with a minimum of 60% marks (40% for SC/ST). |
| Diploma Holders | A diploma in related disciplines with at least 60% marks (40% for SC/ST). |
| Entrance Exam | Valid score in JEE Main. |
| Alternative Qualifications | Diploma or B.Sc in related disciplines with a minimum of 60% marks (40% for SC/ST). |
B.Tech in CSE (AI & ML) Course Outline
The course structure for the B.Tech in CSE with specialization in AI & ML includes various theoretical and practical modules across the four years. Below is a detailed outline:
Year 1: Foundation in Computer Science and Engineering
In the first year, students will acquire a solid grounding in the fundamentals of computer science, mathematics, and engineering.
| Semester | Subjects |
|---|---|
| Semester 1 | Engineering Mathematics I, Physics, Basic Electrical Engineering, Introduction to Programming, Engineering Drawing, Environmental Studies, Communication Skills |
| Semester 2 | Engineering Mathematics II, Digital Logic Design, Data Structures, Computer Programming, Electrical Engineering, Basic Mechanical Engineering, Professional Ethics |
Year 2: Core Computer Science Concepts
The second year focuses on enhancing students’ understanding of key concepts in computer science, while introducing the basics of AI and ML.
| Semester | Subjects |
|---|---|
| Semester 3 | Discrete Mathematics, Object-Oriented Programming, Computer Organization and Architecture, Database Management Systems, Signals and Systems, Communication Systems |
| Semester 4 | Engineering Mathematics III, Operating Systems, Software Engineering, Probability & Statistics, Design & Analysis of Algorithms, Data Communications |
Year 3: Specialization in Artificial Intelligence and Machine Learning
During the third year, students begin their specialized training in AI and ML, preparing them for real-world challenges.
| Semester | Subjects |
|---|---|
| Semester 5 | Artificial Intelligence, Machine Learning, Database Systems, Computer Networks, Microprocessors, Advanced Data Structures |
| Semester 6 | Deep Learning, Natural Language Processing, Data Mining, Cloud Computing, Big Data Analytics, AI Algorithms and Applications |
Year 4: Advanced AI & ML and Industry Integration
In the final year, students will delve deeper into advanced AI & ML topics and engage in industry internships, projects, and research.
| Semester | Subjects |
|---|---|
| Semester 7 | Reinforcement Learning, Computer Vision, Advanced Data Analytics, Internet of Things, Blockchain Technology, Research Methodology |
| Semester 8 | Major Project (AI/ML-based), Industrial Training, Seminar and Presentation |
Career Opportunities after B.Tech in CSE (AI & ML)
The demand for professionals skilled in AI and Machine Learning is at an all-time high. Graduates of this program will have access to a wide range of career opportunities across industries such as technology, finance, healthcare, manufacturing, and e-commerce. Some of the potential job roles include:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- AI Researcher
- Software Developer
- Data Analyst
- Robotics Engineer
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