cmr.edu.in B.B.A | Data Science | Programmes at CMR University

B.B.A | Data Science

download brochure Apply Now

BBA | Data Science

The Bachelor of Business Administration (BBA) in Data Science is a forward-thinking undergraduate programme crafted to develop the next generation of business leaders who can think analytically, act strategically, and lead through data. This unique three-year course seamlessly integrates core business principles with cutting-edge data science tools and techniques- preparing students to make intelligent, data-driven decisions in a rapidly evolving digital economy.

Blending the disciplines of business management and technology, the programme trains students to extract meaning from complex data sets, interpret insights through visualisation, and apply them to solve real-world business challenges. Students gain practical knowledge in areas such as business intelligence, statistical analysis, machine learning, artificial intelligence, Python, R, SQL, data mining, and cloud computing—all within the context of business functions like finance, marketing, operations, and human resources.

The curriculum is designed to be immersive and experiential, featuring a balanced mix of classroom instruction, hands-on labs, live industry projects, case studies, internships, and capstone research. Students develop proficiency in industry-standard tools such as Tableau, Power BI, and Excel, while also exploring the ethical implications of data usage and the transformative impact of big data on global business models.

By graduation, students are not only equipped with robust technical and analytical capabilities but also possess a deep understanding of how to translate data into business value—making them highly sought-after professionals in roles spanning business analytics, consulting, marketing intelligence, financial analytics, and beyond.

Duration

3 years

Programme Type

Full-time

Programme Fees

Rs. 57,500/- per semester

Programme Regulations
Programme Structure

PDF 12 June 2025 is being worked upon by the Academic Council, updated list will be shared once approved

Eligibility Criteria

Candidates should have passed PUC/12th standard or equivalent from any stream.

Programme Structure

Semester I
  • Financial Accounting
  • Business and Technology
  • Business Economics (Micro-Economics)
  • Business Mathematic
  • Hindi / Kannada / English 
  • Active CommunicationCreating with AI
  • Community Service Programme – I
Semester II
  • Principles and Practices of Management 
  • Business Statistics with R
  • Python for Data Science
  • Corporate Business Law
  • Advanced ExcelDesign Thinking Career Preparedness Program-ICommunity Service Programme – II
Semester III
  • Business Analytics
  • Human Resource Management
  • Operations Management 
  • Marketing Management
  • MOOC-1*
  • Indian Constitution
  • Career Preparedness Program-II
  •  Community Service Programme – III
Semester IV
  • Financial Management
  • Business Research Methods
  • Organisational Behavior Data Visualization
  • Big Data Analytics Introduction to Philosophical Thoughts Career Preparedness Program-III
Semester V
  • Cost & Management Accounting
  • Operations Research
  • Applied Data Analytics
  • Direct Taxation
  • Strategic Management
  • Data Management
  • Data Warehousing and Data Mining
  • Internship 1† (SIP)
  • Indian Traditions: Values and Critical Inquiry
  • Disaster Management
  • Training and Placement
Semester VI
  • Entrepreneurship Development
  • Artificial Intelligence in Business
  • Internship I†(SIP)
  • Capstone 
  • Community Service -I (COS-I)*
  • Community Service – II (COS-II)*
  • Community Service – III (COS-III)*
  • Environment and Sustainability
  • Training and placement

Programme Outcome

Graduates will be able to: 

PO1: Demonstrate a foundation of digital marketing theoretical concepts and practices through innovative techniques to step out as corporate-ready professionals. 

PO2: Use capabilities and skills in areas of business and marketing to take up roles in digital marketing services for associate and analyst positions across diverse industries. 

PO3: Apply sensitivity towards organisational, economic and cultural diversity while designing solutions to meet global challenges. 

PO4: Build creativity and innovative thinking to develop entrepreneurial skills.

PSO1: Apply foundational and advanced data science principles, including data cleaning, preprocessing, and statistical analysis, to solve complex business problems across industries such as marketing, finance, operations, and HR. 

PSO2: Utilise data analytics tools, programming languages (e.g., Python, R), and machine learning algorithms to build predictive models and generate actionable insights for business decision-making. 

PSO3: Demonstrate the ability to interpret large datasets, visualise trends, and present business intelligence using tools like Tableau, Power BI, and other data visualisation platforms to inform strategic business decisions. 

PSO4: Exhibit critical thinking and problem-solving skills to identify key business challenges, analyse data from various sources, and apply appropriate methodologies to formulate effective, data-driven solutions. 

PSO5: Apply ethical considerations and data privacy principles in handling sensitive information, ensuring compliance with data protection regulations and promoting responsible data usage in business environments.

PSO6: Prepare for professional roles in data analytics, business intelligence, and data science fields, with readiness for both corporate positions and entrepreneurial ventures in data-driven industries such as tech, finance, and consulting.

Course Outcomes 

CO1: Understand core concepts of data science, business analytics, and statistical analysis in the context of business decision-making.

CO2: Apply data wrangling, cleaning, and preprocessing techniques to prepare datasets for analysis using tools like Excel, SQL, and Python. CO3: Use data visualisation techniques and tools such as Tableau and Power BI to present business insights in an impactful and meaningful manner. 

CO4: Demonstrate the ability to build and evaluate predictive models using machine learning algorithms for business forecasting and classification tasks. 

CO5: Analyse business scenarios and apply data analytics strategies to solve functional problems in marketing, finance, operations, and HR. CO6: Interpret and communicate analytical results effectively to both business and technical audiences through written reports and visual dashboards. 

CO7: Evaluate the ethical, legal, and social implications of data science practices, with a focus on data privacy, security, and responsible AI. 

CO8: Collaborate in cross-functional teams to develop data-driven solutions through business case studies, real-time datasets, and industry-based projects.

What Expertise Do You Gain?
  • Solid foundation in core business disciplines such as marketing, finance, operations, HR, and entrepreneurship.
  • Mastery of data collection, cleaning, processing, and interpretation techniques.
  • Proficiency in using tools such as Excel, SQL, Python, R, and Tableau/Power BI for data analysis and visualisation.
  • Ability to interpret complex datasets and generate actionable business insights.
  • Knowledge of statistical techniques including regression, hypothesis testing, and inferential statistics.
  • Ability to build and apply predictive models using machine learning algorithms to forecast trends and behaviours.
  • Hands-on experience in coding (Python, R), querying databases (SQL), and handling large datasets.
  • Understanding of business intelligence systems and their role in digital transformation across sectors.
  • Strong communication, presentation, and storytelling skills using data.
  • Team collaboration, project management, and problem-solving abilities for cross-functional roles.
  • Exposure to real-world problems through capstone projects, internships, and interaction with industry mentors.
  • Readiness for roles such as Business Analyst, Data Analyst, Operations Analyst, Marketing Analyst, and more.

Career Opportunities

  • 01
    Business Analyst: Analyse organisational data to improve business processes, strategies, and decision-making.
  • 02
    Data Analyst: Extract insights from structured and unstructured data using tools like Python, SQL, Excel, Tableau, and Power BI.
  • 03
    Marketing Analyst: Use customer and campaign data to improve targeting, personalisation, and marketing ROI.
  • 04
    Financial Analyst (with Data Focus): Perform quantitative modelling, forecasting, and portfolio analysis using data science tools.
  • 05
    Operations Analyst: Optimise supply chain, logistics, and production using analytics-driven decision support systems.
  • 06
    Product/Data Associate in Tech Startups: Support data-driven product development and innovation cycles in tech-based ventures.
  • 07
    Data-Driven Entrepreneur: Launch and manage data-centric startups in sectors like fintech, edtech, healthtech, or e-commerce.
  • 08
    CRM/Data Executive in Retail, FMCG, and BFSI: Manage customer databases, loyalty programmes, and segmentation strategies based on insights.

Recruiters

  • IT & Software Services (TCS, Infosys, Wipro, Tech Mahindra)
  • Banking, Financial Services & Insurance (ICICI, HDFC, Axis, Paytm, Zerodha)
  • E-commerce (Amazon, Flipkart, Meesho, Nykaa)
  • Retail & FMCG (Reliance Retail, BigBasket, HUL, Marico)
  • Telecom (Jio, Airtel, Vodafone Idea)
  • Consulting (KPMG, Deloitte, PwC, EY)
  • Startups & Incubators (via Startup India and state-level innovation hubs)

More Programmes at the School of Management

School of Management

B.B.A

  • 55,000/- Per semester
  • Undergraduate
  • 3 years
  • HRBR, OMBR & Lakeside
Apply now Visit page
School of Management

B.B.A | Digital Marketing (DM)

  • 57,500/- Per semester
  • Undergraduate
  • 3 years
  • HRBR
Apply now Visit page
School of Management

B.B.A | BA (Business Analytics)

  • 57,500/- Per semester
  • Undergraduate
  • 3 years
  • HRBR
Apply now Visit page
School of Management

B.B.A | Fintech

  • 57,500/- Per semester
  • Undergraduate
  • 3 years
  • OMBR & Lakeside
Apply now Visit page
School of Management

B.B.A | Logistics & SCM

  • 57,500/- Per semester
  • Undergraduate
  • 3 years
  • OMBR
Apply now Visit page
School of Management

MBA | with Dual Specialisation

  • Rs.1,75,000/- Per semester
  • Postgraduate
  • 2 years
  • Lakeside, OMBR & HRBR
Apply now Visit page
School of Management

B.B.A | Tourism & Hospitality Management

  • 55,500/- Per semester
  • Undergraduate
  • 3 years
  • HRBR
Apply now Visit page
School of Management

MBA | Technology Management

  • Rs.1,75,000/- Per semester
  • Postgraduate
  • 2 years
  • HRBR
Apply now Visit page
School of Management

MBA | Business Analytics & Business Intelligence| BA & BI

  • Rs.1,75,000/- Per semester
  • Postgraduate
  • 2 years
  • HRBR
Apply now Visit page
School of Management

E-MBA | Product Leadership

  • 2 years
Apply now Visit page

Recent Blogs

Alternative Career Paths After a Law Degree

Alternative Career Paths After a Law Degree

02 JANUARY 2026
Mastering the Art of Academic Balance in an LL.M. Programme

Mastering the Art of Academic Balance in an LL.M. Programme

02 JANUARY 2026
How to Read and Understand Judgments as an LL.M. Student

How to Read and Understand Judgments as an LL.M. Student

02 JANUARY 2026
How LL.M. Students Master Legal Research

How LL.M. Students Master Legal Research

02 JANUARY 2026
How an MBA Improves Decision-Making

How an MBA Improves Decision-Making

22 DECEMBER 2025
The Confidence Shift Most MBA Students Experience

The Confidence Shift Most MBA Students Experience

22 DECEMBER 2025
What Your First Semester at an MBA Programme Really Looks Like

What Your First Semester at an MBA Programme Really Looks Like

16 DECEMBER 2025
The Real ROI of an MBA: Is It Worth the Investment?

The Real ROI of an MBA: Is It Worth the Investment?

16 DECEMBER 2025
Founders’ Day 2025: A Day That Brought the CMR Community Together

Founders’ Day 2025: A Day That Brought the CMR Community Together

24 NOVEMBER 2025
Why an MCA is the Right Choice for Tech Aspirants

Why an MCA is the Right Choice for Tech Aspirants

14 NOVEMBER 2025
All Blogs

FAQs

The BBA in Data Science is a 3-year undergraduate programme divided into 6 semesters. It integrates core business administration knowledge with analytical and technical skills required to leverage data for strategic decision-making in modern organisations.

While a traditional BBA focuses on management fundamentals, the BBA in Data Science incorporates data-centric subjects like data analytics, machine learning, statistical modelling, and business intelligence tools. This specialisation enables students to make data-driven decisions and prepares them for careers at the intersection of business and technology.

Yes. In the later semesters, students can opt for electives to explore niche areas such as:

  • Machine Learning for Business
  • Business Intelligence and Visualisation
  • Predictive Analytics
  • Data Engineering and Cloud Analytics
  • Big Data and AI Applications in Business

Graduates are well-prepared for a range of data-centric roles, including:

  • Business/Data Analyst
  • Data Science Associate
  • Financial Analyst (Data Focused)
  • Marketing Analyst
  • Risk Analyst
  • Product Analyst
  • Operations Analyst
  • AI/ML Assistant Roles
  • Data-Driven Entrepreneur

After completing BBA in Data Science, students can pursue:

  • MBA in Business Analytics / Data Science
  • MSc in Data Science, Business Analytics, or AI
  • PG Diploma in Data Engineering or Cloud Computing
  • Certifications like Google Data Analytics, Tableau, or Microsoft Power BI

You will gain:

  • Proficiency in tools like Excel, Python, SQL, Tableau, Power BI, and R
  • Foundational and advanced data analytics skills
  • Business problem-solving using data
  • Machine learning model development
  • Data storytelling and visualisation
  • Critical thinking and decision-making with data
  • Ethical data usage and compliance awareness

Yes. The BBA in Data Science includes internships, capstone projects, and hands-on training with real-time datasets. This ensures practical exposure and industry-readiness.

Candidates must have passed 12th Grade / PUC or equivalent from any stream. While prior technical experience is not mandatory, an aptitude for analytics and interest in data-driven decision-making is recommended.

Yes. The university provides excellent placement support with 200+ recruiters across sectors. Specialised training in data tools, communication, interview preparation, and career readiness is part of the curriculum from the first semester.

Eligibility Check: Ensure you’ve completed 12th/PUC or equivalent in any stream. 

Application: Fill out the online application on the university’s admissions portal. Selection: Based on document verification, entrance exam (CMRUAT if applicable), and personal interview. 

Offer Letter & Enrolment: Successful candidates receive an offer letter and proceed with the enrolment process, including fee submission.

ACCP AY(2025-26)