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B.Sc. in Data Science

 

Overview

This innovative B.Sc. in Data Science course will provide participants with an opportunity to get exposed to the broad range of subjects leading to a high-level of data science skills. The objective of this course is to help the students:

  • Develop into an agile, skilled data scientists.
  • Be adept at working in variety of settings and able to meet the challenges and reap the rewards of interdisciplinary team work.

The broad areas in which the students will be able acquire their skills and knowledge are: Applied Statistics, Data Mining and Predictive Modelling Machine Learning, Big Data Analytics, Data Visualization and Applications of Data Science in various business areas like Marketing, Retails and Supply Chain, Operations, Banking, Insurance and Finance, Human Resources, etc. The pedagogy is will be extremely hands-on using real world case problems.

[College Code: NKCGOIDGP]

B.Sc in Data Science
Course Level Graduation
Duration 3 Years
Eligibility 60% in 10+2
Type Degree

Scope & Career Opportunities

Students completing the course can either opt to pursue higher studies in the field of Data Science or join the industry at a junior level in one of the following roles:

  • Data Analyst
  • Data Scientist
  • Data Architect
  • Data Administrator
  • Business Analyst
  • Data / Analytics Manager
  • Business Intelligence Manager

Curriculum

Semester I

  • Linear Algebra
  • Basic Statistics
  • Programming in C
  • Communication Skill in English
  • Programming in C Lab
  • Microsoft Excel Lab

Semester II

  • Probability and Inferential Statistics
  • Discrete Mathematics
  • Data Structures and Program Design in C
  • Computer Organization and Architecture
  • Data Warehousing and Multidimensional Modelling
  • Data Structures Lab
  • Programming in R Lab

Semester III

  • Object-Oriented Programming in JAVA
  • Data Base Management Systems
  • Operating Systems
  • Design and Analysis of Algorithms
  • Data Base Management Systems Lab
  • Object-Oriented Programming in JAVA Lab

Semester IV

  • Machine Learning I
  • Cloud Computing
  • Data Warehousing and Multidimensional Modelling
  • Operations Research and Optimization Techniques
  • Time Series Analysis
  • Machine Learning I Lab
  • Data Warehousing and Multidimensional Modelling Lab

Semester V

  • Machine Learning II
  • Introduction to Artificial Intelligence
  • Big Data Analytics
  • Data Visualizations
  • Programming in Python Lab
  • Big Data Lab
  • Minor Project

Semester VI

  • Elective – I
  • Elective – II
  • Grand Viva
  • Major Project

Specializations

NSHM will provide the following advanced analytics courses as electives:

  • Reinforcement Learning
  • Marketing and Retail Analytics
  • Supply Chain and Logistics Analytics
  • Financial Analytics
  • HR Analytics
  • Social Media Analytics
  • Healthcare Analytics
  • Natural Language Processing

Special Deliverables

  • UGC approved bachelor degree program
  • State-of-the-art infrastructure for high performance computing that is ideally suited for analytics of Big Data, Data Science, Cyber Security, Internet of Things and Cloud Computing.
  • Analytics Society of India, Kolkata Chapter guided analytics learning and certification
  • Association with national level analytics forums like Analytics India Magazine and Analytics Vidhya.
  • Faculty with proven track records in Industry and academics with experience in various industry verticals of analytics and also in research and development and innovation
  • Association and academic collaboration with foreign universities
  • Industry-driven curriculum based on the latest trends in the ever changing and evolving fields of Data Science
  • Sessions with Industry experts
  • Training in participating in national level Hackathons on Data Science
  • Extremely well connected with industry which will lead to excellent placement.

Infrastructure / Knowledge Tools

  • State-of-the-art Laboratory and Infrastructure
  • Library with more than 10,000 books along with e-journals and e-magazines
  • Vastly experienced faculty members with more than 70 % awarded or enrolled Ph.D scholars
  • Huge Extra-curricular and Co-curricular engagement opportunities

Eligibility

10+2 passed with Science, Mathematics and English from a recognised board. Knowledge of Statistics is preferred.


Duration

3 Years


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