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.

Programs Offered

B.Sc. in Data Science (3+1 Years)

The B.Sc. in Data Science is a focused undergraduate degree that integrates mathematical, statistical, and computing foundations with hands-on training in data handling, visualization, and predictive modeling.

Key Features:
  1. Core modules in Python, R, Statistics, Linear Algebra, and Machine Learning
  2. Practical exposure to tools like SQL, Tableau, Power BI, and Jupyter Notebooks
  3. Data analysis projects, hackathons, and real-time datasets for learning
  4. Industry internships and capstone project in the final year

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

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.

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.

Certifications:

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

Click Here -  Eligibility Criteria

Aligning Skills with Industry Trends

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 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.

Click Here -  Eligibility Criteria

Industry Integration & Skill-Based Training

At SUAS, the B.Sc. in Data Science is built on the foundation of practical, project-based learning:
big-bazaar-logo-png_seeklogo-331040
H-Pantaloons
images (1)
reliance-retail-logo
images (2)

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

Program Objectives

The 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
  6. Work with real-world datasets to derive insights using statistical and visualization tools.
  7. Build, train, and deploy machine learning models for predictive and automated decision-making.
  8. Design dashboards, interpret business data, and support strategic decision processes.
  9. Develop data pipelines, manage large-scale databases, and ensure data availability for analytics systems.
  10. Conduct data-driven research, model trends, and support academic or industry research initiatives.

Apply now and begin your journey toward the data science.

APPLY NOW
IMG_7987
IMG_0755