B.Sc. in Data Science

Launch Your Career in Analytics with B.Sc. Data Science

The School of Data Science at Symbiosis University of Applied Sciences (SUAS), Indore, is committed to preparing students for one of the most sought-after and high-growth careers of the 21st century: Data Science. As businesses, governments, and societies become increasingly data-driven, the demand for skilled professionals who can derive actionable insights from vast datasets is soaring across sectors. As India’s first skill-based university, SUAS blends academic rigor with practical industry application. The School of Data Science offers a specialized undergraduate program designed to develop core competencies in data analytics, machine learning, statistics, and programming — all essential tools to thrive in the modern digital economy.

Program Structure

Semester – I

Basics of Data Science
Introduction to C Programming
Architecture and Operating System
Linear Algebra and Basics of Calculus
Data Analysis using Spread Sheet (VBA)
Basics of Banking Operations
Career Development Skills
Open Elective

Semester – II

Probability & Statistics
Data Structure and Algorithm
Python Programming – 1
Database Management System (DBMS) with SQL
R Programming
Retail Enterprise Management System
Indian Knowledge System
Open Elective
Internship I

Semester - III

Python Programming – II
Big Data Architecture and Ecosystem.
Machine Learning-1
Core Java
Data Mining and Data Warehousing
Inventory Management
Career Progression Skills
Open Elective

Semester - IV

Machine Learning – II
Big Data Technologies using Hadoop
Introduction to Power BI
Introduction to Web Technology
Introduction to Artificial Intelligence
E-Commerce Management
Constitution of India
Open Elective
Internship II

Semester - V

Apache Spark and Scala
Data Visualization using Tools
Data Security and Compliances
Basics of Data Management using Cloud
Introduction to Deep Learning
Open Elective

Semester - VI

Environmental Studies and Sustainability
Open Elective
Internship III

Data is at the heart of decision-making across industries, and the need for data-literate professionals has never been higher. According to global surveys, India is among the top three countries with the highest demand for data science professionals.

Industry Applications:

  • Banking & Finance: Fraud detection, credit scoring, investment analysis
  • Healthcare: Disease prediction, patient monitoring, health analytics
  • Retail & E-commerce: Consumer behavior analysis, recommendation engines
  • Telecom & Media: Customer segmentation, churn prediction
  • Manufacturing & Logistics: Predictive maintenance, supply chain optimization

The Data Science program at SUAS is tailored to help students tap into this growing market by equipping them with in-demand technical and analytical skills.

At SUAS, the B.Sc. in Data Science is built on the foundation of practical, project-based learning:

Tools & Platforms:

  1. Python, R, SQL
  2. Tableau, Power BI
  3. Excel, Jupyter, Google Colab
  4. Scikit-learn, Pandas, NumPy, TensorFlow (Intro)

Industry Linkages:

  1. Live projects with startups and enterprises
  2. Guest lectures by data scientists, analysts, and business intelligence professionals
  3. Data competitions, AI bootcamps, and tech meetups

Certifications:

  1. Python for Data Science
  2. Data Visualization with Tableau
  3. Machine Learning Foundations
  4. Excel for Business Analytics

These opportunities ensure students are trained in job-ready skills that align with

Industry Integration & Skill-Based Training

At SUAS, Data Science is built on the foundation of practical, project-based learning:

Tools & Platforms:

  1. Python, R, SQL
  2. Tableau, Power BI
  3. Excel, Jupyter, Google Colab
  4. Scikit-learn, Pandas, NumPy, TensorFlow (Intro)

Industry Linkages:

  1. Live projects with startups and enterprises
  2. Guest lectures by data scientists, analysts, and business intelligence professionals
  3. Data competitions, AI bootcamps, and tech meetups

These opportunities ensure students are trained in job-ready skills that align with industry expectations.

Graduates from the School of Data Science can explore roles such as:

Entry-Level Job Roles:

  1. Data Analyst
  2. Junior Data Scientist
  3. Business Intelligence Associate
  4. Data Visualization Executive
  5. Statistical Programmer

Mid-Term Career Paths:

  1. Machine Learning Engineer
  2. Data Engineer
  3. Research Analyst
  4. Business Analyst
  5. Operations Analyst

Students also have the option to pursue higher studies in Data Science, Artificial Intelligence, Computer Science, Applied Statistics, or MBA in Business Analytics.

 

Data is at the heart of decision-making across industries, and the need for data-literate professionals has never been higher. According to global surveys, India is among the top three countries with the highest demand for data science professionals.

Industry Applications:

  1. Banking & Finance: Fraud detection, credit scoring, investment analysis
  2. Healthcare: Disease prediction, patient monitoring, health analytics
  3. Retail & E-commerce: Consumer behavior analysis, recommendation engines
  4. Telecom & Media: Customer segmentation, churn prediction
  5. Manufacturing & Logistics: Predictive maintenance, supply chain optimization

The B.Sc. Data Science program at SUAS is tailored to help students tap into this growing market by equipping them with in-demand technical and analytical skills.

Graduates from the School of Data Science can explore roles such as:

Entry-Level Job Roles:

  1. Data Analyst
  2. Junior Data Scientist
  3. Business Intelligence Associate
  4. Data Visualization Executive
  5. Statistical Programmer

Mid-Term Career Paths:

  1. Machine Learning Engineer
  2. Data Engineer
  3. Research Analyst
  4. Business Analyst
  5. Operations Analyst

Students also have the option to pursue higher studies in Data Science, Artificial Intelligence, Computer Science, Applied Statistics, or MBA in Business Analytics.

Certifications:

  • Python for Data Science
  • Data Visualization with Tableau
  • Machine Learning Foundations
  • Excel for Business Analytics

Click Here -  Eligibility Criteria

Program Objectives

The B.Sc. Data Science program aims to:

  1. Build a solid foundation in mathematics, statistics, and programming
  2. Equip students with the ability to collect, clean, analyze, and interpret complex data
  3. Develop critical thinking and data storytelling skills
  4. Offer exposure to real-world problems through projects and internships
  5. Prepare students for careers or further education in data analytics, AI, and research

Industry Integration & Skill-Based Training

At SUAS, the B.Sc. in Data Science is built on the foundation of practical, project-based learning:
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Infrastructure & Lab Facilities

SUAS offers world-class infrastructure to support data science learning:
Data Science Lab

Equipped with high-performance systems and datasets

AI & ML Lab

For experimentation with machine learning models

Visualization Lab

Designed for dashboard building, storytelling, and presentations

Smart Classrooms

Integrated with e-learning and cloud-based tools

Apply now and begin your journey toward the data science.

APPLY NOW
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