Department of Computer Science & Engineering (Data Science)

Computer Science and Engineering (Data Science)


Computer Science and Engineering (Data Science)

Data science is a method for transforming business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more. This course is designed to meet the increasing demand for professionals who can manage both Business and Data Science aspects by analysing data and extracting valuable insights for decision making.

The subject of Data Science encompasses important disciplines like Statistics, Mathematics, and Programming. Artificial intelligence and machine learning technologies including deep learning,
reinforcement learning, neural networks, etc. are the pillars of data science. They apply this knowledge to uncover solutions hidden in the data to take on business challenges and goals.

Skills Gained:

  • A sound understanding of dynamics of industry, government and global business specific knowledge and expertise in business information systems.
  • Learn to use IT management skills to help improve business efficiency and sharpen a company's competitive edge.
  • Build to help tomorrows business managers to get equipped for digital transformation, plan strategically and redesign business secure operations as well as establish business processes and direct digitalization in big and small companies.

Job Opportunities:

  • IT Systems / Business Analyst
  • Social Media Specialist
  • IT Project Manager
  • Systems Designer
  • Business Systems Designer
  • Business and Systems Analyst
  • Business Data Analyst
  • Digital Advertising / Marketing Analyst

Courses and Content Delivery

The following are the courses during B.Tech - Computer Science and Engineering & Business Systems.

Required Courses
  • Programming for Problem Solving
  • Object Oriented Design and Programming
  • Data Structures
  • Discrete Mathematical Structures
  • Computer Organization
  • Theory of Computation
  • Operating System
  • Artificial Intelligence
  • Design and Analysis of Algorithms
  • Database Management Systems and Data Warehouse
  • Language Processing
  • Software Engineering
  • Computer Networks
  • Data Analytics and Mining
  • Web Technologies
Focused Courses
  • Statistical Modelling
  • Digital Marketing
  • Big Data and Business Analytics
  • Machine Learning
Elective Courses
usiness Management Systems Business Intelligence
  • Human Resource Management
  • Organizational Behaviour
  • Financial & Cost Accounting Modelling
  • Marketing Research & Management
  • Introduction to Innovation, IP Management and Entrepreneurship
  • Neural Network and Deep learning
  • Predictive Analytics
  • Advanced Social, Text and Media Analytics
  • Information Retrieval System
  • Scalable Systems for Data Science

List of Faculty


S.NO STAFF NAME DATE OF JOINING DESIGNATION QUALIFICATION ASSOCIATION
1 Dr. K.SANKAR Professor 27.06.2022 Ph.D Regular
2 Mrs. B. SRUTHI Assistant Professor 27.06.2022 M.Tech Regular
3 Mrs. A.S. AKHILA Assistant Professor 27.06.2022 M.Tech Regular

R20 Regulations & Syllabus

R20 Regulations & Syllabus

CSE(DS) BoS Members

S.No Name of the Member Designation Role of the BoS
1 Dr.M.Rajaiah Professor & HOD Chairman
Subject Experts Nominated by Academic Council
2 Dr. Kalidas Yeturu Assistant Professor, Dept. of CSE, IIT, Tirupathi Member
3 Dr. M. Naresh Babu Assistant Professor, NIT Silchar, Cachar Dt, Assam Member
University Nominee
4 To be Nominated by Vice-Chancellor, JNTUA Member
Department Faculty
5 Dr.T.Swarna Latha Associate Professor Member
6 Dr.D.Naga Raju Associate Professor Member
Industry Representative
7 Mr.Sai Karthik Embide, Senior Data Scientist Member
Alumni
8 Mr.V.Karthik Inmobi,Ad-Tech Company,Bangalore Member