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B.Sc. Data Science

  • About B.Sc Hons. (Data Science)

    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.

  • 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.
  • Program Outcomes (POs):
    • PO1 Disciplinary Knowledge: Understand the concepts of core subjects and have the hands-on skills to demonstrate competency in the domain of computer science.
    • PO2 Critical Thinking and Problem Solving: Define, identify, analyze, design, interpret, evaluate, and provide the solution using computer domain knowledge.
    • PO3 Global/Multicultural Competence: Identify and analyse global demand for computer technologies to provide a solution to all.
    • PO4 Research Related Skills: Students will develop conceptual clarity and be enabled to analyze a situation and provide sustainable solutions.
    • PO5 Leadership & Teamwork: The ability to perform effectively as a leader and perform excellently with a variety of teams in a multidisciplinary environment.
    • PO6 Effective Communication: Ability to communicate effectively with various stakeholders in the field of computer science
    • PO7 Ethics and Human Values: Perform ethical and professional practice by using computer technology.
    • PO8 Community Engagement and Social Responsibilities: Help the community and society grow an advanced health system, promote economic growth, and provide a sustainable solution to society.
  • Program Specific Outcomes (PSOs):
    • PSO1 Professionally skilled and trained in the field of computer science, they can solve complex, real-time problems, which help them grow personally and professionally.
    • PSO2 Understanding modern computer technologies and their applications to solve complex and critical issues that benefit society and the environment.
    • PSO3 Trained to perform effectively as an individual, a team, and as a team leader in a multidisciplinary environment using critical thinking skills.
  • 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) Science or equivalent with mathematics as a subject at 10th

  • Program Structure
    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
  • Certificate

    Upon successful completion of the program, 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)
    B.Sc Data Science 50,000

    *Additional Information

    • In addition to this fee, students have to pay the security deposit (10,000 INR) and Medical insurance (3000 INR PA).
    • Students having higher percentage throughout career will be eligible for scholarship
    • Students are required to maintain consistency in percentage to avail scholarship.

    Hostel (Optional)
    Lodging & Boarding expenses (Subject to revision)
    Double Occupancy (In Campus)

    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

    Triple Occupancy (In Campus)

    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:

    • * 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