B. Tech CSE Data Science & Business Analytics

Teacher
Saravana Kumar
Category:
Business Analytics, Information Technology

Programme Overview:

Data is considered to be the new fuel of the modern era. Many domains are turning to data-driven solutions, including finance, education, health care, manufacturing, retail, telecom, and IT. On the other hand, the purpose of Business Analytics is to gain insights from business data through statistical analysis. Business-oriented problems are addressed along with well-known and established methods to solve them.

Thus, Geeta University has started the new-age B.Tech. CSE Data Science and Business Analytics with a curriculum to impart the most sought-after skills in the industry today. Designed and formulated by industry experts, the programme will prepare students with strong theoretical foundations and practical skills in the emerging field of data science.

Salient features:

  • Curriculum designed as per current industry requirements
  • Programme tailored to produce skilled and ready-to-deploy talent
  • Reputed institute with an excellent campus and infrastructure
  • Best-in-class faculty
  • Tech-enabled programme delivery
  • 100% placement support* (*Terms and conditions apply)

Program Details

  • Prepare students with a unique combination of subjects handpicked for students to master Data Science skills.
  • Prepare students to impart conceptual and practical knowledge of Data Science and Business Analytics that will generate many employment opportunities and open doors for entrepreneurship.
  • Prepare graduates with soft skills, technology and life skill subjects that help in improving their personality, building good character and employment quotient significantly.

Curriculum*

*Subject to change

Semester 1

  • Engineering Mathematics – I
  • Engineering Physics
  • Basic Electronics and Electrical Engineering
  • Workshop Practice Lab
  • English – I
  • Basic Mechanical Engineering

Semester 2

  • Engineering Mathematics – II
  • Engineering Chemistry
  • Programming with C for Problem Solving
  • English – II
  • Engineering Graphics & Design
  • Digital Electronics and Logic Design

Semester 3

  • Discrete Mathematics
  • Computer Fundamentals and Organization
  • Principles of Business Management
  • Data Structures and Algorithms
  • Object Oriented Programming using Python
  • Introduction to Data Science
  • Complex Problem Solving / Critical Thinking

Semester 4

  • Database Management Systems
  • Operating Systems
  • Foundations of Business Administration
  • Business Intelligence and Strategy
  • Statistics with Python
  • Communication Skills / Analytical Reasoning
  • Open Elective – I

Semester 5

  • Software Engineering
  • Computer Networks
  • R Programming
  • Python Libraries for Data Science
  • Teamwork Coordinating Collaborating with others / Leadership Readiness
  • Coding and Computational thinking – I
  • Open Elective – II

Semester 6

  • NoSQL Databases
  • Big Data Analytics
  • Data Visualization
  • Machine Learning
  • Multicultural Competence / Value Inculcation and Empathy
  • Coding and Computational thinking – II
  • Employability Skills Programme – I
  • Open Elective – III

Semester 7

  • Business Analytics
  • Time Series Analysis
  • Environmental Awareness and Action / Community Engagement in Service
  • Foreign Language
  • Coding and Computational thinking – III
  • Project Based Internship
  • Employability Skills Programme – II
  • Open Elective – IV

Semester 8

  • Marketing Analytics / Financial Analytics
  • Customer Analytics / Operations Analytics
  • Internship Programme
  • Employability Enhancement Programme
  • Open Elective – V

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Enrolled: 4 students
Duration: 4 Years | Full-time Program