Maharishi Markandeshwar University
B.Tech in CSE (Data Science) at Maharishi Markandeshwar University
In the age of data-driven decision-making, the demand for professionals with expertise in data science has skyrocketed. Maharishi Markandeshwar University (MMU), known for its excellence in education, offers a cutting-edge B.Tech program in Computer Science & Engineering with a specialization in Data Science. This program is designed to equip students with the knowledge, skills, and practical experience required to excel in the fast-paced world of data science, machine learning, artificial intelligence, and related fields.
MMU B.Tech in CSE (Data Science) Course Details
University Name: Maharishi Markandeshwar University
Course Name: B.Tech Computer Science & Engineering (with Specialization) - Data Science
Duration: 4 Years
Course Fee: 1,28,500 per year
Eligibility: 10+2 with Physics, Mathematics, Chemistry/Biology/Biotechnology/Computer Science, and English with 60% marks (40% for SC/ST), or a Diploma in related disciplines with 60% marks, valid score in JEE Main, or a Diploma/B.Sc in related disciplines with 60% marks (40% for SC/ST)
MMU B.Tech in CSE - Data Science at MMU Course Outline
The B.Tech in Computer Science & Engineering with Specialization in Data Science covers a wide range of topics, ensuring students gain a solid foundation in computer science while diving deep into data science technologies. The curriculum is designed to foster both theoretical knowledge and practical skills, with exposure to industry-standard tools and techniques.
The program is divided into eight semesters, with each semester building upon the knowledge gained in the previous one.
Semester 1: Introduction to Programming and Mathematics
| Subject | Description |
|---|---|
| Programming Fundamentals | Learn programming fundamentals using languages like C and Python. |
| Calculus and Linear Algebra | Basic mathematical concepts such as limits, derivatives, integration, matrices, and vectors. |
| Physics and Chemistry | Fundamental concepts in physics and chemistry to build a strong scientific base. |
| Engineering Drawing | Introduction to technical drawing and visualization techniques. |
Semester 2: Introduction to Data Structures and Algorithms
| Subject | Description |
|---|---|
| Data Structures | Introduction to fundamental data structures like arrays, linked lists, stacks, and queues. |
| Discrete Mathematics | Mathematical reasoning, logic, set theory, combinatorics, and graph theory. |
| Object-Oriented Programming (OOP) | Concepts of classes, objects, inheritance, polymorphism, and encapsulation. |
| Digital Logic Design | Understanding of digital circuits and logic gates used in computers and embedded systems. |
Semester 3: Core Computer Science & Engineering
| Subject | Description |
|---|---|
| Database Management Systems | Learn the design, implementation, and management of databases. |
| Operating Systems | Concepts of operating systems, including process management, memory management, etc. |
| Computer Networks | Introduction to networking fundamentals, including protocols, layers, and TCP/IP. |
| Software Engineering | Overview of software development life cycle, methodologies, and project management. |
Semester 4: Data Science Fundamentals
| Subject | Description |
|---|---|
| Introduction to Data Science | An introduction to data science principles, including data analysis and visualization. |
| Probability and Statistics | Basic concepts of probability, statistical methods, and analysis techniques. |
| Machine Learning | Basic machine learning algorithms and their applications. |
| Web Development | Learn how to build and deploy web applications, including front-end and back-end design. |
Semester 5: Advanced Data Science Concepts
| Subject | Description |
|---|---|
| Big Data Analytics | Techniques and tools for handling and analyzing large-scale data sets. |
| Advanced Machine Learning | In-depth exploration of advanced machine learning techniques such as neural networks. |
| Data Mining | Learn techniques to extract meaningful patterns from large data sets. |
| Cloud Computing | Understanding of cloud infrastructure and data storage solutions for data science. |
Semester 6: Specialization in Data Science
| Subject | Description |
|---|---|
| Deep Learning | Focused study of neural networks and deep learning frameworks. |
| Natural Language Processing (NLP) | Techniques to work with textual data, including language models and sentiment analysis. |
| Time Series Analysis | Understanding of time-dependent data and its analysis techniques. |
| AI for Data Science | Study of artificial intelligence principles and their applications in data science. |
Semester 7: Industry Tools and Practical Exposure
| Subject | Description |
|---|---|
| Data Science with Python | Learn how to apply data science concepts using Python libraries such as Pandas, NumPy, and Scikit-learn. |
| Data Visualization | Using visualization tools like Tableau, Power BI, and Python libraries to present data insights. |
| Project Work / Industry Internship | A practical exposure to real-world data science problems and hands-on industry experience. |
| Elective 1: Data Security | Focus on securing data in the digital world using encryption and other techniques. |
Semester 8: Capstone Project and Electives
| Subject | Description |
|---|---|
| Capstone Project | An extensive project involving data analysis, machine learning, and implementation. |
| Elective 2: Advanced Topics in Data Science | Deep dive into cutting-edge topics like reinforcement learning and data ethics. |
| Research Methodology | Learning to conduct and document research in data science fields. |
Career Opportunities after B.Tech in CSE (Data Science)
Data science is one of the most promising fields in the world today. Graduates of this program can expect to work in diverse roles such as:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Developer
- Big Data Engineer
- AI Engineer
- Data Architect
With the rapid growth of industries relying on big data, cloud computing, and artificial intelligence, professionals trained in data science are in high demand. The program at Maharishi Markandeshwar University provides all the essential skills required for a successful career in this thriving sector.
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