B.Sc. Hons. (Data Science) is a (3 years / 4 years) full-time course that comes under the domains of Computer Science, Business Analytics and Artificial Intelligence. Data Science is an interdisciplinary subject that includes the use of Statistics, Big Data Analytics, Machine Learning and related aspects in order to understand the problem or phenomena with respect to a set of real-world data. This course is greatly appreciated among students in India and Abroad due to its progressively high importance and diverse future scope in tech companies, consultancies, market research companies and energy sector.
B.Sc. Data Science is intended to provide a comprehensive knowledge of big data techniques, and their applications for effective decision making in improving business processes. The program curriculum has been designed with feedback from industry and academia. The main attraction of the program is live projects in which students will explore their knowledge while working on real-world business problems.
The technological revolution has brought in many changes in various vital fields and has equally contributed to the rise of new opportunities. Data Science is one such opportunity which many youngsters look up to, especially in a country like India, where the young population has an impressive number. The growth in Data and the parallel increase in the need to manage them has made companies search for qualified professionals who are proficient in it.Data Science involves analysing massive amounts of data by using automated methods and extract insights that help in making strategic business solutions. Data Scientists are the modern day heroes who will perform this job, and their demand is increasing exponentially.
The data science sector is flourishing to such an extent that there are currently more than ‘97,000 job openings for analytics and data science in India right now’. It is evident that the job market trend is showing an increasing demand for skilled data scientists across various industries. Students who have great expertise in working on tools such as SAS, R, Tableau and Python get recruited instantly by top MNC’s such as Google. Flipkart, IBM, Cognizant, GE Capital, HCL, Dell, IBM, and more. When there is such a huge opportunity, students from different background are looking for an opportunity to enter this newly growing field and start a successful career in Data science.
Companies in India hire Data Scientists/ Professionals who can resolve the data management issues in their domain. According to the Analytics India Salary study, the Annual income of Data Science professionals ranges from 7 to 11 Lacs per annum in India. It is interesting to note that the demand for Data Science courses is also witnessing a rise year after year. The Data Science courses help to acknowledge this demand. Amidst the rising demand for Data Scientists in India and abroad, the importance of Data Science courses is also growing.
After completion of the course the participants will be able to
(10+2) Science or equivalent with mathematics as a subject at 10th
S. No. | Title of Paper | Credits |
---|---|---|
SEMESTER I | ||
1. | Foundation Course in Mathematics
(Matrices, Complex numbers, Vector Algebra, Coordinate Geometry, Set Theory) |
4 |
2. | Environmental Studies | 3 |
3. | Communicative English-I | 2 |
4. | Fundamentals of Computers | 2 |
5. | Problem Solving using C | 5 |
6. | Digital Logic Design | 4 |
7. | IT Workshop -I | 1 |
SEMESTER II | ||
1. | Advanced Mathematics Calculus (Differential, Integral, Differential Equations, Complex Variables, Linear Algebra) |
4 |
2. | Probability and Statistics | 4 |
3. | Object Oriented Programming using Java | 5 |
4. | Computer Organization | 4 |
5. | Data Structure | 6 |
6. | Communicative English -II | 2 |
7. | Project Based Learning and Seminar-I | 1 |
SEMESTER III | ||
1. | Discrete Mathematics | 3 |
2. | Applied Economics | 3 |
3. | Database Management Systems | 4 |
4. | Design and Analysis of Algorithms | 4 |
5. | Operating Systems | 4 |
6. | Introduction to Data Science using Python | 5 |
7. | Rural/Community Engagement | 1 |
8. | Project Based Learning and Seminar-II | 1 |
9. | Internship-I | 1 |
SEMESTER IV | ||
1. | Optimization Techniques | 3 |
2. | Machine Learning | 5 |
3. | Computer Network | 3 |
4. | Data Preparation and Analysis | 4 |
5. | DSE-I | 3 |
6. | Minor Project -I | 2 |
7. | Domain and Employability Enhancement Skills-I | 1 |
8. | Liberal Art/Creative Art | 2 |
9. | Free/Open Elective | 3 |
SEMESTER V | ||
1. | Statistical Data Analysis using R Language | 4 |
2. | Data Visualization | 4 |
3. | Artificial Intelligence | 3 |
4. | DSE-II | 3 |
5. | DSE-III | 3 |
6. | Domain and Employability Enhancement Skills-II | 1 |
7. | Free/Open Elective | 3 |
8. | Human Values and Ethics | 2 |
9. | Minor Project -II | 2 |
10. | Internship-II | 2 |
11. | Liberal Art/Creative Art | 2 |
SEMESTER VI | ||
1. | Deep Learning | 4 |
2. | Big Data Processing & Analytics | 4 |
3. | DSE-IV | 3 |
4. | Free Elective | 3 |
5. | Major Project/Dissertation | 6 |
6. | Liberal Art/Creative Art | 2 |
S. No. | Title |
---|---|
List of Domain Specific Elective (3 Credits) | |
1. | Internet of Things for Smart Cities |
2. | Internet of Things for Health Care |
3. | Cloud Computing |
4. | Natural Language Processing |
5. | Computer Vision |
6. | Operational Research |
7. | Time Series Analysis and forecasting |
8. | Advanced Data Visualization |
9. | Text Analytics |
10. | Multivariate Analysis |
11. | Recommender Systems |
12. | Cryptography and Data Security |
13. | Robotics and Intelligence Systems |
14. | Software Engineering using UML |
15. | Internet of Things and Analytics |
16. | Automata Theory and Compiler Design |
17. | Digital Signal Processing |
18. | Parallel and Distributed Computing |
19. | Social Web Analytics |
20. | Digital Image Processing |
21. | Data Ware housing and Data mining |
22. | Mobile Application Development |
List of Free Elective (3 Credits) | |
1. | Any MOOC Course approved by School/Department |
2. | Any course offered as free elective by other Schools/Departments |
3. | Research Methodology |
4. | Research Report writing and presentation |
5. | Entrepreneurship |
6. | Technology, Strategy and Innovation |
7. | Smart Product Development and Innovation |
Liberal Art/Creative Art (2 Credits) | |
1. | Painting |
2. | Music |
3. | Film and acting |
4. | Dance |
5. | Animation |
6. | Architecture |
7. | Photography |
8. | Music |
9. | Graphic Design |
10. | Wood art |
11. | Bamboo Art and Craft |
12. | Philosophy |
13. | Journalism |
Upon successful completion of the program, the certificate would be issued by Birla Global University.
Program Duration : 3 Years
(As per NEP2020 guidelines there is also option of 4th Year for Research which is applied only for interested students)
Course | Fee per Semester (INR) |
---|---|
B.Sc Data Science | 50,000 |
*Additional Information
Installments | Odd Semester Installment | Even Semester Installment |
---|---|---|
Due Date | 15th June | 15th Dec |
Lodging (A/C Accommodation) | Rs. 35,200.00 | Rs. 35,200.00 |
Boarding | Rs. 36,000 | Rs. 36,000 |
Laundry | Rs. 3,000 | Rs. 3,000 |
Total Charges | Rs. 74,200.00 | Rs. 74,200.00 |
Installments | Odd Semester Installment | Even Semester Installment |
---|---|---|
Due Date | 15th June | 15th Dec |
Lodging (A/C Accommodation) | Rs. 31,200.00 | Rs. 31,200.00 |
Boarding | Rs. 36,000 | Rs. 36,000 |
Laundry | Rs. 3,000 | Rs. 3,000 |
Total Charges | Rs. 70,200.00 | Rs. 70,200.00 |
Note: