+91-9643402226 admissionparth1@gmail.com Mon-Sat: 9AM-6PM
Logo Admission Parth

+91-9643402226

Apply Franchise

Business Analytics Programs 2026

Become a data‑driven decision maker with Sharda University's comprehensive Business Analytics programs. Learn to harness data, build predictive models, and drive business strategy using industry‑leading tools like Python, R, SQL, Tableau, and Power BI.

12+
Specializations
97%
Placement Rate
15+
Software Tools
250+
Recruiting Partners

Featured Analytics Programs

Choose from our range of specialized programs designed to equip you with the analytical skills, technical expertise, and business acumen demanded by top employers.

MBA in Business Analytics

School of Management

Integrate data science with management principles. Learn predictive modeling, data visualization, and strategic decision‑making through real‑world capstone projects.

Program Duration 2 Years (Full-time)
Entry Requirements Graduation (50%, any discipline)
Entrance Tests CAT / MAT / XAT / GMAT
Program Investment ₹9 - 13 Lakhs

M.Sc. in Data Science

Department of Computer Science

A rigorous program covering machine learning, big data analytics, deep learning, and cloud computing with hands‑on labs and industry certifications.

Program Duration 2 Years (Full-time)
Entry Requirements B.Sc./BCA (55%, Mathematics at 10+2)
Entrance Tests Sharda University Entrance Test
Program Investment ₹5 - 8 Lakhs

PG Diploma in Business Analytics

Centre for Continuing Education

A fast‑track, industry‑focused program for working professionals covering analytics tools, data storytelling, and business applications.

Program Duration 1 Year (Executive/Weekend)
Entry Requirements Graduation + 2 years work experience
Entrance Tests Interview + Work Profile
Program Investment ₹3.5 - 5 Lakhs
Program Name Administering Department Core Focus Areas Duration
BBA in Business Analytics School of Management Analytics Fundamentals, Excel, SQL, Tableau 3 Years
Certificate in Data Visualization Centre for Skill Development Power BI, Tableau, Storytelling with Data 6 Months
Executive Program in Big Data Department of Computer Science Hadoop, Spark, NoSQL, Cloud Analytics 1 Year (Online)
M.Tech in Data Science & Engineering School of Engineering Machine Learning, AI, Deep Learning 2 Years
PhD in Business Analytics Research Centre Advanced Research Methods, Dissertation 3-5 Years

Why Study Business Analytics at Sharda?

Our programs combine academic excellence with hands‑on experience to prepare you for the data‑driven economy.

Cutting‑Edge Labs

Access to Analytics Lab with 150+ workstations loaded with Python, R, SAS, Tableau, Power BI, and cloud platforms.

Live Industry Projects

Work on real business problems with our corporate partners – from predictive modeling to customer segmentation.

Industry Certifications

Earn certifications from Microsoft, IBM, and SAS as part of the curriculum, boosting your employability.

Expert Faculty & Mentors

Learn from PhD holders and industry practitioners with years of experience in analytics and data science.

Analytics Curriculum Details

Explore the detailed curriculum of our flagship analytics programs, including core modules, electives, and hands‑on projects.

MBA Business Analytics Curriculum

Core Analytics Courses

  • Statistics for Business Analytics
  • Data Management using SQL
  • Predictive Modeling with Python/R
  • Machine Learning for Managers
  • Data Visualization & Storytelling
  • Big Data & Cloud Analytics

Practical Components

  • Capstone Consulting Project with Industry
  • Analytics Hackathons & Competitions
  • Certification in Tableau / Power BI
  • Summer Internship in Analytics Firm
  • Guest Lectures by Data Science Leaders

Career Pathways

Graduates work as Business Analysts, Data Analysts, Analytics Consultants, Product Analysts, and Market Research Analysts in consulting, BFSI, e‑commerce, healthcare, and technology sectors.

M.Sc. Data Science Curriculum

Core Technical Courses

  • Advanced Python & R Programming
  • Statistical Learning & Inference
  • Machine Learning & Deep Learning
  • Big Data Technologies (Hadoop, Spark)
  • Natural Language Processing
  • Time Series & Forecasting

Practical Components

  • Two Semester‑long Industry Projects
  • Kaggle Competitions & Workshops
  • Certification in AWS/GCP/Azure
  • Research Publication Opportunity
  • Internship with Top Tech Companies

Career Pathways

Graduates become Data Scientists, Machine Learning Engineers, Big Data Analysts, AI Specialists, and Decision Scientists in product‑based companies, startups, and research labs.

PG Diploma Business Analytics Curriculum

Core Modules

  • Business Statistics & Excel Analytics
  • SQL & Data Management
  • Data Visualization with Tableau/Power BI
  • Predictive Analytics using R
  • Marketing & Financial Analytics
  • Analytics Capstone Project

Practical Components

  • Live Client Project (8 weeks)
  • Workshops on Python & R
  • Certification in Google Analytics
  • Industry Mentorship Program
  • Placement Assistance Workshops

Career Pathways

Graduates secure roles as Business Intelligence Analysts, Data Analysts, Reporting Analysts, and Analytics Associates across sectors like retail, BFSI, IT, and consulting.

Scholarships & Financial Aid

Sharda University offers various scholarships to meritorious students and those with strong quantitative backgrounds, making analytics education affordable.

Financial Aid Category Eligibility Parameters Tuition Support Additional Notes
Merit Scholarship Graduation score (≥70%) 20% - 40% Based on previous academic performance
Quantitative Aptitude Scholarship High score in entrance / math background 25% - 50% For students with strong math/statistics records
Women in Data Science Grant Female applicants with ≥65% 15% - 30% Encouraging diversity in analytics
Early Admission Benefit Apply before March 31, 2026 10% One‑time benefit on first year tuition
Corporate Tie‑up Scholarships Employees of partner companies 15% - 25% Available for sponsored candidates

Scholarships are renewable annually. Students can avail only one scholarship from the listed categories.