B. Tech in
Business Analytics

Rishihood University’s B.Tech in Business Analytics, co-created with KPMG in India, combines business strategy with the power of data analytics. Designed to equip students with the skills to make data-driven decisions, the program covers areas like predictive modeling, data visualization, and business intelligence.

Students have access to the $5 million Makers Fund to fund their entrepreneurial ventures in the analytics space. With global study treks and internships at top firms, students gain real-world experience in applying analytics to solve business challenges. 

Duration

4 Years

Degree

B.Tech

Eligibility

Grade 12

Format

Residential

Tuition Fee

4.2 LPA

*Note: Students enrolled in this course will earn a B.Tech – CS (DS) upon completion of the program

Case Studies

Students enrolled in our B.Tech Business Analytics course will learn essential techniques and strategies from the following case studies across all semesters

Learning Journey & Curriculum

Embark on an immersive, hands-on learning experience that blends theory, practice, and innovation.

Semester

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Business Fundamentals

Introduction to Businesss Analytics & Data Science
Introduces data-driven decision making concepts, tools, and techniques for business insights.

Introduction to Entrepreneurship and Business
Explores the fundamentals of entrepreneurship and business, focusing on innovation, opportunity recognition, and strategies for building and managing successful enterprises.

Problem Solving and Programming
Develops logical thinking and programming skills to solve computational problems effectively.

Rishihood Foundation

Global Grand Challenges
Explores innovative solutions to address critical global issues through a multidisciplinary lens.

Understanding India
Examines India’s diverse cultural, social, and economic landscape in a contemporary context.

Self and Society – 1
Focuses on self-awareness, personal growth, and understanding individual roles in society.

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Business Fundamentals

Technology and Policy
Examines the relationship between technological advancements and policy-making in modern society.

Data Structures and Algorithms
Focuses on organizing data efficiently and designing algorithms to solve computational problems.

Mathematics-II (Probability & Statistics)
Covers probability theory and statistical techniques for analyzing and interpreting data.

Business Analytics in Practice
Applies analytical tools and techniques to solve real-world business challenges.

Rishihood Foundation

Principles of Design
Introduces design thinking methodologies to create innovative and user-centric solutions.

Environment & Systems Thinking
Explores interconnected systems and environmental challenges with a holistic perspective.

Self and Society – 2
Builds on self-reflection and explores deeper social responsibilities and interactions.

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Business Analytics

Mathematics-III (Calc, Linear Algebra)
Covers advanced concepts in calculus and linear algebra for analytical and computational applications.

Python for Data Science and Analytics
Teaches Python programming for data manipulation, analysis, and visualization in data science.

Data Science and Inferential Statistics using Excel
Utilizes Excel to perform statistical analysis and draw inferences from data.

Machine Learning I
Introduces the fundamentals of machine learning, including key algorithms and real-world applications.

Activities

Technical Interview Preparation – I
Explore the heart of democracy through the Indian constitution, government bodies and the electoral process.

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LEARNING OUTCOMES

Comprehensive Design Thinking and Problem Solving

Technical Proficiency in Visualization and Construction

Digital Proficiency and Media Literacys leo.

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Business Analytics

Object Oriented Programming
Focuses on object-oriented principles like classes, objects, inheritance, and polymorphism to build modular software.

Entrepreneurship, Business Strategies, and Marketing Analytics
Combines entrepreneurship fundamentals, customer relationship management, and data-driven marketing strategies.

Database Management Systems
Introduces concepts of database design, SQL, and efficient data management using relational database systems.

Data Visualisation and Analytics
Explores techniques for analyzing data and creating compelling visualizations to communicate insights effectively.

Machine Learning II
Delves into advanced machine learning algorithms, model evaluation, and real-world applications of AI techniques.

Activities

Technical Interview Preparation – II
Enhances technical problem-solving and interview readiness through advanced practice and mock interviews.

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LEARNING OUTCOMES

Comprehensive Design Thinking and Problem Solving

Technical Proficiency in Visualization and Construction

Digital Proficiency and Media Literacys leo.

6

Months

Intership

Dedicated 6 months of industrial exploration, providing each student with the opportunity to gain valuable experience.

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Business Analytics

Analysis and Design of Algorithms
Focuses on designing efficient algorithms and analyzing their performance for optimized problem-solving.

Introduction to NLP and Unstructured Data Analytics
Explores natural language processing techniques and analytics for unstructured text data.

Data Mining and Warehousing
Covers extracting meaningful patterns from large datasets and managing structured data through warehousing techniques.

Cloud Computing and Distributed Systems
Introduces cloud infrastructure and distributed computing for scalable, high-performance applications.

Web Application Programming
Teaches the development of interactive and dynamic web applications using modern programming techniques.

Activities

Technical Interview Preparation – III
Explore the heart of democracy through the Indian constitution, government bodies and the electoral process.

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LEARNING OUTCOMES

Comprehensive Design Thinking and Problem Solving

Technical Proficiency in Visualization and Construction

Digital Proficiency and Media Literacys leo.

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Business Analytics

Blockchain technology and Applications
Introduces blockchain concepts, decentralized systems, and their real-world applications like cryptocurrencies.

Generative AI and Prompt Design
Explores generative AI techniques and prompt engineering to create AI-driven solutions effectively.

Data Mining and Warehousing
Covers extracting meaningful patterns from large datasets and managing structured data through warehousing techniques.

 

Activities

Technical Interview Preparation – IV
Finalizes technical interview readiness with advanced coding, problem-solving, and mock interviews.

Elective 2
Provides an opportunity to explore advanced topics based on individual interests and career goals.

Elective 3
Allows further specialization in a chosen domain to deepen knowledge and expertise.

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LEARNING OUTCOMES

Comprehensive Design Thinking and Problem Solving

Technical Proficiency in Visualization and Construction

Digital Proficiency and Media Literacys leo.

LEARNING OUTCOMES

Comprehensive Design Thinking and Problem Solving

Technical Proficiency in Visualization and Construction

Digital Proficiency and Media Literacys leo.

6

Months

Intership

Offers hands-on experience through industry internships, research projects, capstone solutions, or entrepreneurial ventures to apply learned concepts in real-world scenarios.

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Partners & Mentors

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Mentors

Learn from industry experts and visionary leaders who guide and inspire the next generation of creators.

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Prof Ravinder Pal Singh

Co-Founder, School of Entrepreneurship Rishihood University

Prof (Dr) K. Gopinath

Professor, Newton School of Technology

Rishihood university private university co-founder

Prof Shobhit Mathur

Co-Founder and Vice Chancellor, Rishihood University

Prof Vasudev Murthy

Executive Director, School of Entrepreneurship Rishihood University

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Prof Trupti Bijwal

Python SME & Corporate Trainer IBM (ICE)

Prof (Dr) Jeevan D. Sehgal

Associate Professor, School of Entrepreneurship & Director - HR, Rishihood University

Prof (Dr) M. Chitra

Associate Professor, School of Entrepreneurship Rishihood University

Prof (Dr) Kavita Gupta

Associate Professor, School of Entrepreneurship Rishihood University

KPMG Faculty

Gain insights from renowned professionals and academics who bring global perspectives and real-world expertise to the classroom.

Amit Kumar

Assistant Manager
KPMG India

Kaushik Swaroop

Analyst. Advisory
KPMG India

Varsha Pai K

Analyst. Advisory
KPMG India

Dilip Balasubramanian

Consultant- Business Excellence
KPMG India

Frequently Asked Questions

Find answers to all your questions about the program, application process, and more.

The duration of Rishihood University’s B.Tech Business Analytics & CS Residential Program is 4 years.

The course tuition fee at Rishihood University is Rs. 4.2 Lakh per year. 

The minimum eligibility required for engineering in Business analytics at RU is Class 12th from any board. Current Students and Pass-outs can apply

Yes, we have scholarships available in 4 categories. 

  1. Vidya Shree: Merit-based scholarships given to top scorers of entrance exams.
  2. Industry Catalysts: Innovators who want to build something that can contribute to society.
  3. Pragya Jyoti: Another Merit-based scholarship offered to needy students with excellent academic records.
  4. Vividha Samman: A scholarship that gives a platform to talented students in design, visual and fine arts, sports or literature

Absolutely Yes, The Btech program in Business Analytics and Computer Science at RU is one of the best engineering UG programs in India that offers:

  1. International Exposure: Gain international exposure through immersive educational visits to foreign universities.
  2. Expert-Led Learning: Learn directly from experts specializing in analytics and business communication.
  3. KPMG Experts: Learn from KPMG&s experts in classroom environment with real-world case studies.
  4. Capstone Projects: Real business challenges with our Capstone Projects for hands-on learning.
  5. One-On-One Mentorship: Enjoy a close-knit learning environment with one-on-one mentor interactions.
  6. Industry internships with our partner: Internships to set a solid foundation for you.
  7. Tailored Research: Unlock unique opportunities for applied research with our specially curated training modules.
  8. Free MacBook Laptop: Each student to receive an Apple MacBook Air at no extra cost, ensuring access to the latest technology.
  9. 100% Placement Support: Get your analytics career with our dedicated Career Services team, committed to ensuring every student embarks on a successful professional journey post-graduation.

The process to apply for admission to this engineering UG program is very easy. Students can simply fill out the application form here. Once the application is submitted, our team will contact you and your entrance exam followed by an interview will be schedule

According to LinkedIn’s Most In-Demand Skills of 2024, Data Analytics is one of the top skills employers prioritized when recruiting, posting, and hiring for jobs.

A B tech graduate in Analytics and CS is can get salary packages for following job roles:

  • Market Analyst: 7.1-14 LPA
  • Business Analyst: 6.2-16 LPA
  • Research Analyst: 4-10 LPA

There are many job opportunities available for students.