ASBM

Bachelor of Science (Data Science)

Bachelor of Science (Data Science)

Collabration

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Program Key Stats

2021

Admission Session

Higher Secondary 10+12 Science with Mathematics Subject

Eligibility criteria

3 Years

Duration

₹ 120750

Fees

Program
Overview

Data Science leverages cutting-edge technology and data-crunching power into actionable insights. Big data and analysis have come to stay that is poised to govern human pursuits in the foreseeable future. The future leaders of the industry, government, and the corporate world will increasingly be using robots, chatbots, IoT, and real-time heterogeneous data, both from crowdsourcing and organized databases to create and simulate business models and build scenarios of possibilities for impactful decision making and optimized deployment of scarce natural resources.

Data Science opens new vistas of opportunities in a networked knowledge economy. The role of data scientists and analysts is to integrate the knowledge and skillsets from mathematics, statistics, computer science, and artificial intelligence to address the business and organizational challenges of the world in the future. The opportunities for data scientists will be enormous at all levels from intelligent data operators, data analysts, machine learning scientists, to the applications and enterprise architect.

To address the challenges of the future businesses, industries, and organizational landscape, the ASBM University is making concerted and diligent efforts to create and offer a Bachelor of Science (Data Science) that will build a sustainable talent pipeline and capacity to meet the demands of skilled data scientists from the industry, government, academia, policy-making bodies, defense, and other organizations.

ASBM University’s B.Sc. (Data Science) program has been designed to reinforce knowledge with practical skill sets that address real-life challenges of the organisations. The course includes aspects of business communication, process and quality, entrepreneurship, and ethics along with the core subjects of mathematics and computer science, which make this program unique and robust to create industry-ready professionals. The program will use experiential learning through project-driven modules with instructor-led sessions, lab work, backed by practicum exercises and project work.

Why Bachelor of Science
(Data Science)

  • Designed on CBCS pattern
  • Practice-driven experiential learning
  • Flexible exit option from the program with award of either a Certificate
    (on completion of the first year) or a Diploma (on completion of the second year)
  • Experienced faculty from industry, profession and academics
  • Continuous evaluation system
  • Project work
  • Separate hostel facilities for boys and girls

Course Curriculum

A student will undergo minimum 156 credits of course work during the three-year programme. The courses have been classified into credits. A course carrying 100 marks shall be equivalent to 6 credits or 4 credits.

The curriculum consists of 156 credits where Ability Enhancement Courses (AECC) are of 8 credits, Skill Enhancement Courses (SEC) are of 16 credits, Core Discipline courses are of 84 credits, Generic Electives (GE) are of 24 credits and Discipline Specific Electives (DSE) are of 24 credits.

Semester - I

  • Environmental Science
  • Algoriths and Data Structures
  • Algoriths and Data Structures Lab
  • Programming in Python
  • Programming in Python Lab
  • Business Statistics (Using Spreadsheet / R)
  • Choose Any One
  • Business Accounting
  • Logistics Management
  • Operations Management
  • Human Resource Management

Semester - II

  • English Proficiency Skills
  • Mathematics for Data Science
  • Statistical Decision Making
  • Statistical Decision Making Lab
  • Machine Learning
  • Specialized Data Analytics
  • (Choose Any One)
  • Accountancy, Business
  • Management, Logistics
  • Management, Operations
  • Management, Hr Management
  • Specialized Data Analytics Lab

Semester - III

  • Data Management Systems
  • Object Oriented Programming
  • Object Oriented Programming Lab
  • Decision Support Systems
  • Business Communication Skills
  • Choose Any One
  • Foundations of Fuzzy Logic
  • Foundations of Neural Networks

Semester – IV

  • Big Data Analytics
  • Introduction to Artificial Intelligence
  • Cloud Computing
  • Data Visualisation Techniques
  • Data Visualisation Techniques Lab
  • Choose Any One
  • Natural Language Processing
  • Data Mining Techniques

Semester - V

  • Business Research Methods
  • Introduction to IOT
  • Choose Any One
  • AI Search Methods and Problem Solving
  • Geographic Information Systems
  • Choose Any One
  • Data Science Thesis (Machine Learning or Ai Domain)
  • Data Science Project (Data Analytics/iot Domain)

Semester – VI

  • Ethics in Artificial Intelligence
  • Cyber Security
  • Industry-based Large Scale Project Work on Data Science, Predictive
  • Analytics, Ai, Machine Learning, Iot
  • Choose Any One
  • Total Quality Management
  • Software Testing

Let us help you to make the right career decision

FOR WHOM

  • Higher Secondary (+2/XIIth) Science or equivalent with Mathematics as a subject
  • Three year Diploma in Engineering
  • Final year students can also apply.

ELIGIBILITY

  • Minimum 50% marks in aggregate (45% for reserved category) from an institution recognised by State Council of Technical Education and Vocational Training.

Faculty

Dr. Apurva Sahay

Assistant Professor

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Dr. Barada P Mohapatra

Assistant Professor

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Dr. Bhagaban Jayasingh

Professor & Dean

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Dr. Bhakta Bandhu Dash

Sr. Assistant Professor

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Dr. Biswajeet Pattanayak

President & Professor

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Dr. Haradhan Das

Professor

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Dr. Jhum Swain

Assistant Professor

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Dr. Jyoti Ranjan Mohanty

Professor

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Dr. Kalyan Shankar Ray

Professor

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Dr. Kaushik Nagadev Bhuyan

Assistant Professor

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Dr. Manmath Nath Samantaray

Associate Professor

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Dr. Padmanava Mohapatra

Sr. Assistant Professor

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Dr. Phalgu Niranjana

Professor

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Dr. Rupsa Mahapatra

Assistant Professor

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Dr. Sachidanand Sogala

Adjunct Professor

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Dr. Shekhar Murthy

Professor

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Dr. Smaraki Pattanayak

Assistant Professor

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Dr. Sunil Kumar Das Bendi

Assistant Professor

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Dr. Susanta Kumar Kanungo

Adjunct Faculty

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Dr. Thomas Mathew

Professor Emeritus

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Prof. Avijit Mondal

Assistant Professor

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Prof. Pratap Kumar Pati

Assistant Professor

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Prof. Saroj Kumar Bishey

Assistant Professor

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Prof. Swasti Suvasweta Satpathy

Assistant Professor

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