Birla Gloal University

Admissions

B.SC. Hons. Data Science

  • About B.SC Hons. (Data Science)

    B.Sc. Hons. (Data Science) is a 3 year 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. This course spreads over six semesters. The programme curriculum has been designed with feedback from industry and academia. The main attraction of the programme is live projects during 3rd year in which students will explore their knowledge while working on real-world business problems.

  • Data Science

    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.

  • Employment opportunity

    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.

  • Objective of B.Sc. Hons. Data Science
    • To prepare the students be employable in Multi-national companies and in various other sectors.
    • To explicate data analysis techniques and quantitative modeling for the solution of real world business problems.
    • To report findings of analysis and effectively present them using data visualization techniques.
    • To Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
    • To provide insights about the roles of a Data Scientist, such as a developer, an analyst, a statistical expert etc.
    • To understand techniques and tools for transformation of data , Data Mining, Data formats , Machine Learning Algorithms, Data Visualization and Optimization.
  • Learning Outcome

    After completion of the course the participants will be able to

    • Use proper techniques for understanding and presenting data.
    • Learn how to use optimization techniques and software tools for data analysis.
    • Sharpen their analytical skills and develop the ability of analyzing data properly.
    • Acquire problem solving ability of complex business decisions, quantitative literacy and critical thinking in seeking solutions to complex business problems.
  • Eligibility

    (10+2) or equivalent with Mathematics/Statistics/IT /Computer as one of the subjects

  • Programme Structure
    COURSE CODE SUBJECT CREDIT
    SEMESTER I
    BSCDS-101 Mathematics for Data Scientists 4
    BSCDS-102 Problem Solving using C Programming 4
    BSCDS-103 Effective Communication Skills-1 2
    BSCDS-104 C Programming (Lab) 4
    BSCDS-105 Management Information System 4
    Total Credit Semester-I 18
    SEMESTER II
    BSCDS-201 Object Oriented Programming Using C++ 4
    BSCDS-202 C++ Programming (Lab) 4
    BSCDS-203 Effective Communication Skills-2 2
    BSCDS-204 Managerial Economics 4
    BSCDS-205 Environmental Studies 4
    Total Credit Semester-II 18
    SEMESTER III
    BSCDS-301 Operating System 2
    BSCDS-302 Java Programming 4
    BSCDS-303 Statistics and Probability 2
    BSCDS-304 Computer Networking 4
    BSCDS–305 Data Structure & Algorithms 4
    Total Credit Semester-III 18
    SEMESTER IV
    BBSCDS-401 Linear Algebra and Calculus 4
    BSCDS-402 Python Programming 4
    BSCDS-403 Cloud Computing 2
    BSCDS-404 Database Technology 4
    BSCDS-405 Artificial Intelligence and Data Science 4
    Total Credit Semester-IV 18
    SEMESTER V
    BBSCDS-501 Machine Learning 4
    BBSCDS-502 Statistical Data Modelling Using “R” 4
    BSCDS-503 Employability and Practitioner Skills Series 1: Communicating Effectively 2
    BSCDS-504 Data Mining & Warehousing 4
    BSCDS-505 Data Science Capstone Project I 4
    Total Credit Semester-V 18
    SEMESTER VI
    BBSCDS-601 Social Web Analytics (Web, Internet of Things(IoT), and Social Media Mining) 4
    BBSCDS-602 Internet & Web Technology 4
    BSCDS-603 Employability and Practitioner Skills Series 2: Innovation, Creativity and Agility 2
    BSCDS-604 Big Data Processing Techniques and Platforms 4
    BSCDS-605 Data Science Capstone Project II 4
    Total Credit Semester-VI 18
    TOTAL CREDITS (3 Years) 108
    4th Year (Optional)
    SEMESTER VII
    BBSCDS-701 Data Visualization using Advanced Tools 4
    BBSCDS-702 Big Data Analytics 4
    BSCDS-703 Employability and Practitioner Skills Series 3: Communicating Effectively 2
    BSCDS-704 Advance Machine Learning 4
    BSCDS-705 Predictive Analytics using PYTHON 4
    Total Credit Semester-VII 18
    SEMESTER VIII
    BBSCDS-801 Natural Language Processing (NLP) 4
    BBSCDS-802 Deep Learning 4
    BSCDS-803 Employability and Practitioner Skills Series 4: Innovation, Creativity and Agility 2
    BSCDS-804 Data Engineering 4
    BSCDS-805 Internship-2 4
    Total Credit Semester-VIII 18
    TOTAL CREDITS (4 Years) 144
  • Certificate

    Upon successful completion of the programme, the certificate would be issued by Birla Global University.

  • Duration

    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
    Course Fee per Semester (INR) No. of Semesters Total Course fee (INR)*
    B.Sc Data Science 64,000 6 3,84,000

    • * The effective course fee will be applicable to students scoring more than 60% throughout their career.
    • Students having higher percentage throughout career will be eligible for higher scholarship. (Click here to view scholarship section)
    • Students are required to maintain consistency in percentage to continue with the scholarship.
    • In addition to this fee, students have to pay the security deposit (15,000 INR) and Medical insurance (3000 INR PA).

    LODGING & BOARDING EXPENSES (SUBJECT TO REVISION EVERY YEAR)
    Option 1 – Single Occupancy (In Campus)

    Installments 1st Installment 2nd Installment 3rd Installment 4th Installment
    Due Date 15th June 2021 15th Dec 2021 15th June 2022 15th Dec 2022
    Lodging (A/C Accommodation) Rs.70,400.00 Rs.70,400.00 Rs.70,400.00 Rs.70,400.00
    Boarding Rs. 36,000 Rs. 36,000 Rs. 36,000 Rs. 36,000
    Laundry Rs. 3,000 Rs. 3,000 Rs. 3,000 Rs. 3,000
    Total Charges Rs. 1,09,400.00 Rs. 1,09,400.00 Rs. 1,09,400.00 Rs. 1,09,400.00

    Option-2 Double Occupancy (In Campus)

    Installments 1st Installment 2nd Installment 3rd Installment 4th Installment
    Due Date 15th June 2021 15th Dec 2021 15th June 2022 15th Dec 2022
    Lodging (A/C Accommodation) Rs. 35,200.00 Rs. 35,200.00 Rs. 35,200.00 Rs. 35,200.00
    Boarding Rs. 36,000 Rs. 36,000 Rs. 36,000 Rs. 36,000
    Laundry Rs. 3,000 Rs. 3,000 Rs. 3,000 Rs. 3,000
    Total Charges Rs. 74,200.00 Rs. 74,200.00 Rs. 74,200.00 Rs. 74,200.00

    Triple Occupancy (In Campus)

    Installments 1st Installment 2nd Installment 3rd Installment 4th Installment 5th Installment 6th Installment
    Due Date 15th June 2021 15th Dec 2021 15th June 2022 15th Dec 2022 15th June 2023 15th Dec 2023
    Lodging (A/C Accommodation) Rs. 31,200.00 Rs. 31,200.00 Rs. 31,200.00 Rs. 31,200.00 Rs. 31,200.00 Rs. 31,200.00
    Boarding Rs. 36,000 Rs. 36,000 Rs. 36,000 Rs. 36,000 Rs. 36,000 Rs. 36,000
    Laundry Rs. 3,000 Rs. 3,000 Rs. 3,000 Rs. 3,000 Rs. 3,000 Rs. 3,000
    Total Charges Rs. 70,200.00 Rs. 70,200.00 Rs. 70,200.00 Rs. 70,200.00 Rs. 70,200.00 Rs. 70,200.00

    Note:

    • * Two separate Demand Drafts should be made for Lodging & Mess charges respectively as per any one of the options given in the above table.
    • Student should preserve this schedule for timely payment of fees to avoid penalty for late fee deposition.
    • No notice or reminder will be sent to student or his/her parents.
    • No separate letter will be issued for Bank Education Loan.
    • Demand Draft should be made in the name of “BIRLA GLOBAL UNIVERSITY” Payable at Bhubaneswar.

      NAME OF THE ACCOUNT HOLDER – BIRLA GLOBAL UNIVERSITY
      BANK NAME – UCO BANK
      ACCOUNT NUMBER – 31090110011430
      IFSC CODE – UCBA0003109