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Eligibility

12th Passed with min 50% for GEN & 45% for SC/ST/OBC (Any Stream)

Duration

3 Year

BBA in Data Science & Analytics (BBA-DSA) is an industry-oriented undergraduate program that combines core business management education with modern data science and analytics skills. The course is designed for students who want to build careers in data-driven business decision-making, analytics, and digital transformation.

In today’s competitive business environment, organizations rely heavily on data insights to improve operations, understand customers, and plan growth strategies. This program equips students with the ability to collect, analyze, interpret, and visualize data while understanding key business functions such as marketing, finance, operations, and human resources.

The curriculum typically covers business fundamentals, statistics, data analysis, business intelligence, Python/R basics, machine learning concepts, SQL, data visualization tools, and analytics for marketing & finance. Along with technical skills, students develop critical thinking, problem-solving, communication, and managerial skills, making them job-ready for analytics roles.

BBA in Data Science & Analytics is suitable for students from commerce, science, or arts backgrounds who are interested in blending business strategy with technology. Graduates can pursue careers as Business Analysts, Data Analysts, Operations Analysts, Marketing Analysts, or move on to higher studies such as MBA in Business Analytics, Data Science, or Management.

With the growing demand for analytics professionals across industries like IT, finance, healthcare, e-commerce, consulting, and startups, this program offers strong career potential and long-term growth.

A BBA in Data Science & Analytics (BBA-DSA) opens the door to a wide range of career opportunities in business analytics, data-driven decision-making, and management roles. As organizations increasingly rely on data to improve performance and competitiveness, professionals with a combination of business knowledge and analytical skills are in high demand.

Entry-Level Job Roles

Graduates can start their careers in roles such as:

  • Business Analyst – Analyze business data to improve strategies, operations, and profitability

  • Data Analyst – Collect, clean, and interpret data to generate actionable insights

  • Marketing Analyst – Use data to evaluate campaigns, customer behavior, and market trends

  • Operations Analyst – Optimize supply chain, logistics, and operational efficiency using analytics

  • Financial Analyst (Junior Level) – Assist in budgeting, forecasting, and financial data analysis

  • Business Intelligence (BI) Executive – Create dashboards and reports for management decision-making

  • MIS Executive / Data Executive – Manage data reporting and performance metrics

Industry Sectors Hiring BBA-DSA Graduates

BBA in Data Science & Analytics graduates can find opportunities across multiple industries, including:

  • IT & Software Companies

  • Banking, Finance & FinTech

  • E-commerce & Retail

  • Healthcare & Pharma

  • Consulting & Analytics Firms

  • Manufacturing & Supply Chain Companies

  • Digital Marketing Agencies

  • Startups & Tech-Driven Enterprises

Salary Expectations (Indicative)

  • Freshers: ?3 LPA – ?6 LPA

  • With Experience & Certifications: ?6 LPA – ?10+ LPA

(Salaries vary based on skills, tools, industry, and location)

Higher Studies & Career Growth

After completing BBA-DSA, students can enhance their career prospects through:

  • MBA in Business Analytics / Data Science / Management

  • PG Diploma in Data Science, AI, or Analytics

  • Professional certifications in Python, SQL, Power BI, Tableau, Machine Learning, or Cloud Analytics

With experience, professionals can grow into roles such as Senior Business Analyst, Analytics Manager, Product Analyst, Strategy Consultant, or Data Science Manager.

Why BBA in Data Science & Analytics Is a Smart Career Choice

  • Strong demand across industries

  • Combines management + technology skills

  • Suitable for non-technical students

  • Excellent foundation for MBA & analytics careers

  • Long-term growth in the data-driven economy

Year 1: Business & Data Fundamentals

Semester 1

  • Principles of Management

  • Business Economics

  • Financial Accounting

  • Business Mathematics

  • Fundamentals of Data Science

  • Business Communication

Semester 2

  • Organizational Behaviour

  • Business Statistics

  • Cost & Management Accounting

  • Introduction to Programming (Python Basics)

  • Digital Business & E-Commerce

  • Environmental Studies / Value Education


Year 2: Analytics & Business Applications

Semester 3

  • Marketing Management

  • Human Resource Management

  • Database Management Systems (DBMS)

  • Data Analysis Using Python

  • Statistical Methods for Analytics

  • Minor Project / Case Study

Semester 4

  • Financial Management

  • Operations & Supply Chain Management

  • SQL for Data Analysis

  • Data Visualization Tools (Power BI / Tableau)

  • Business Intelligence Systems

  • Internship / Industry Exposure


Year 3: Advanced Analytics & Strategy

Semester 5

  • Business Analytics

  • Machine Learning for Business (Introductory)

  • Predictive Analytics

  • Big Data Fundamentals

  • Research Methodology

  • Elective I

Semester 6

  • Strategic Management

  • AI Applications in Business

  • Marketing & Financial Analytics

  • Data Governance, Ethics & Security

  • Capstone Project

  • Elective II

Follow these simple steps to secure admission in BBA in Data Science & Analytics with expert guidance from Admission Duniya:


Step 1: Course & University Selection

Choose the right college or university offering BBA in Data Science & Analytics based on:

  • Your preferences (location, fees, mode)
  • Eligibility criteria?
  • Career goals

Our experts at Admission Duniya will help you shortlist the best options.


Step 2: Register With Admission Duniya

Fill out the Admission Duniya registration form with basic details:

  • Full Name

  • Contact Number

  • Email ID

  • Course Applied For

  • Education Details

After registration, our counselor will contact you for a one-on-one consultation.


Step 3: Document Submission

Submit the required documents for verification:

  • 10th & 12th Mark Sheets
  • Photo ID (Aadhaar / Passport / Voter ID)
  • Passport Size Photograph
  • Category Certificate (if applicable)
  • Email & Contact Proof

Our team checks everything to ensure a smooth application process.


Step 4: Application Form Filling

We will assist you in:

  • Filling the university/college application form correctly
  • Choosing correct subjects & specialization
  • Paying the application fees securely

No errors, no delays — our team checks everything.


Step 5: Fee Payment & Confirmation

After submission:

  • Pay the admission/tuition fee
  • Get fee receipts & enrollment confirmation

Our support team assists you with online payment procedures and fund receipts.


Step 6: Enrollment & Student Support

Once your admission is accepted:

  • You receive your Enrollment Number
  • student portal/learning platformAccess to
  • Guidance on class scheduling & course resources

We continue to support you even after admission — right up to course commencement.
For Help Call or WhatsApp us: +91 70990-92900

FAQ

BBA in Data Science & Analytics is an undergraduate management program that combines business administration with data analysis, statistics, and analytics tools. It prepares students for data-driven roles in business and management.

Candidates who have completed 10+2 (any stream – Commerce, Science, or Arts) from a recognized board are eligible. Basic understanding of mathematics is preferred but not mandatory.

The duration of BBA in Data Science & Analytics is 3 years, divided into 6 semesters.

Yes ?. The program is designed in a beginner-friendly manner. Mathematical and analytical concepts are taught from the basics, making it suitable even for students without an advanced math background.

Students develop skills such as: Business & management fundamentals Data analysis & interpretation Statistical thinking Python & SQL basics Data visualization (Power BI / Tableau) Decision-making & problem-solving

Graduates can work as: Business Analyst Data Analyst Marketing Analyst Operations Analyst BI Executive MIS Executive They can also pursue MBA in Business Analytics / Data Science / Management.

Freshers: ?3 LPA – ?6 LPA With experience & certifications: ?6 LPA – ?10+ LPA (Salary depends on skills, tools, industry, and location.)

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