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B.Sc. Data Science

Program Review

The Bachelor of Science (B.Sc.) in Data Science at Atharva University, Mumbai is a comprehensive and future-ready undergraduate program designed to develop highly skilled professionals capable of transforming data into actionable intelligence. The program offers a strong interdisciplinary foundation by integrating mathematics, statistics, computer science, data engineering, and artificial intelligence, enabling students to solve complex real-world problems through data-driven approaches.

In an era where organizations rely on big data, predictive analytics, automation, and AI-enabled decision systems, this program emphasizes both theoretical rigor and extensive practical exposure. Students work with real-world datasets, industry-oriented case studies, advanced analytics laboratories, and capstone projects, ensuring readiness for professional roles and higher academic pursuits. The curriculum is continuously updated to align with emerging technologies, industry practices, and global standards.

Duration & Eligibility

Requirements and selection process for the B.Sc. Data Science Program

I LAB | ATHARVA UNIVERSITY, MUMBAI

Duration

3 Years

Eligibility

Candidate should have passed Std XII examination from any recognized board with minimum 45% marks (40% for reserved category)

Selection Process

Valid Score of JEE Main 2026 / MH CET 2026/ PERA CET 2026/ CUET 2026 / Atharva University All India Entrance Test and Personal Interview

Program Highlights

Industry-driven and future-oriented

Curriculum aligned with current trends in analytics, machine learning, and AI.

In-depth training

In Python, R, SQL, Power BI, TensorFlow, Hadoop, cloud platforms, and advanced Data Visualization tools.

Strong conceptual foundation

In Statistics, Linear Algebra, Programming Paradigms, Database Management Systems, and Data Engineering.

Experiential learning

through hands-on laboratories, live datasets, industry case studies, hackathons, and analytics challenges.

Exposure to

Big Data Technologies, Cloud Computing Environments, and AI-enabled Analytical Frameworks.

Regular Expert Talks

Workshops, and Mentorship sessions by data scientists, industry leaders, and academic researchers.

Structured Internships / Hands-on Projects

Students engage in structured, industry-integrated internships, weekly hands-on mini projects (Project Day every Friday), portfolio-building activities, and a final-year capstone project that provide real-world experience and enhance employability and career readiness.

Access to

State-of-the-art analytics labs and computational resources ( AR/VR Lab, Robotic Lab, Simulation Lab, Innovation Labs and Technology Incubation Centre.

Cybersecurity, BCA, AL & ML | Atharva Univeristy

Atharva Cutting-Edge Labs:

  • Data Science Laboratory

  • Programming & Statistical Computing Lab

  • Machine Learning & AI Lab

  • Big Data Analytics Lab

  • Data Visualization & Business Intelligence Lab

  • Advance AR/ VR Lab

  • Innovation Lab

  • IOT Lab

  • Robotics Center

  • 3D Printing Lab

Career Support & Opportunities

Graduates of the B.Sc. Data Science program are well-equipped to pursue dynamic and high-growth career roles across multiple sectors, including:

Employment opportunities exist in IT and software services, consulting firms, banking and financial institutions, e-commerce and retail organisations, healthcare and life sciences, marketing and digital media agencies, manufacturing industries, and government analytics departments. Graduates may also opt for postgraduate studies and research in Data Science, Artificial Intelligence, Analytics, Computer Science, or Management.

  • Data Analyst
  • Business Analyst
  • Associate / Junior Data Scientist
  • Machine Learning Engineer
  • Big Data Engineer
  • Research Analyst
  • AI & Analytics Associate

Program Outcomes

Upon successful completion of the program, graduates will be able to:

  • Apply statistical, mathematical, and computational techniques to analyse and interpret structured and unstructured datasets.
  • Design, develop, and evaluate data-driven models and predictive analytics solutions for real-world applications.
  • Demonstrate proficiency in programming, data manipulation, visualisation, and machine learning techniques.
  • Utilise modern analytics tools, platforms, and frameworks for efficient data processing and decision support.
  • Understand and practice ethical, legal, and responsible use of data, including data privacy and governance principles.
  • Collaborate effectively in multidisciplinary teams and manage analytical projects independently.
  • Communicate complex analytical findings clearly and professionally to both technical and non-technical stakeholders.

Curriculum Highlighted

Semester 1
  • Python Programming
  • Database Management System (DBMS)
  • Descriptive Statistics
  • Excel for Data Analytics
Semester 2
  • Advanced Python
  • Introduction to AI / ML
  • R Programming
  • Data Privacy & Security
  • Generative AI
Semester 3
  • Artificial Intelligence
  • Data Structures using Python
  • Data Engineering
  • Data Visualization (Tableau / Power BI)
  • Linear Algebra
Semester 4
  • Machine Learning
  • TensorFlow
  • Software Analysis & Design
  • Time Series Analysis
Semester 5
  • Big Data
  • Computer Vision
  • IoT
  • Exploratory Data Analytics
  • Predictive Analytics
Semester 6
  • Deep Learning
  • Cloud Computing (Databricks / Azure / AWS)
  • Natural Language Processing (NLP)
  • Cyber Security
  • Project Implementation
Recruiting Partners & Placement Department | Atharva University

Our Recruiting Partners

Atharva Data Science Training and Placement Department

The Training and Placement Department at Atharva plays a vital role in connecting aspiring students with leading employers. Committed to providing exceptional career opportunities, the department actively facilitates placements and training programs. With a highly skilled and dedicated team, the focus remains on enhancing students' employability through career guidance, industry-relevant training, and skill development.

To bridge the gap between academia and industry, we collaborate with industry experts who equip students with the in-demand skills sought by employers. Each year, esteemed Indian conglomerates visit Atharva for campus placements, offering promising career prospects. The Training and Placement Cell also empowers students with the necessary preparation and motivation for interviews and their professional journey ahead.

Recruiting Companies

FAQ's

Q1. What is the duration of the B.Sc. Data Science program at Atharva University?

The B.Sc. Data Science program at Atharva University is a 3-year
undergraduate degree designed to build expertise in statistics, machine
learning, data analytics, and modern data technologies.

Unlike a traditional B.Sc. program, the Atharva University B.Sc. Data Science
course focuses on practical learning, industry-oriented curriculum, live projects,
real-world datasets, and in-demand tools used in the data science and AI
industry.

The curriculum includes key subjects such as:

  • Statistics
  • Machine Learning
  • Data Analytics tools 
  • Programming (Python , R, SQL) 
  • Data Visualization
  • Big Data Technologies
  • Artificial Intelligence
  • Database Management

Yes, the program strongly emphasizes hands-on learning, including lab sessions, live projects, case studies, and practical training using real-world datasets.

Yes, students receive internship opportunities, industry exposure, and collaborative learning experiences to develop practical skills and professional confidence.

Atharva University offers:

  • Career mentoring
  • Skill development programs
  • Resume building support
  • Interview preparation
  • Placement assistance
  • Industry networking opportunities

Graduates can pursue high-demand careers such as:

  • Data Analyst
  • Business Analyst
  • Junior Data Scientist
  • Machine Learning Engineer
  • Big Data Engineer
  • AI Associate
  • Research Analyst
  • Data Scientist
  • AI Engineer
  • Research Scientist

Yes, the B.Sc. Data Science course at Atharva University includes exposure to emerging technologies such as Artificial Intelligence (AI), Big Data, Machine Learning, and Predictive Analytics.

Absolutely. Graduates can pursue advanced studies such as:

  • M.Sc. Data Science
  • MCA
  • MBA in Analytics
  • AI & Machine Learning Programs
  • International postgraduate programs

  • Yes, students have access to modern infrastructure, advanced computer labs, data science tools, software platforms, and project-based learning environments.

Yes, students regularly work on live industry projects, real-world case studies, hackathons, workshops, and innovation-based assignments. Selected projects may also receive guidance and support for further development.

Yes, Atharva University provides placement support through:

  • Campus recruitment drives
  • Industry connect programs
  • Career counseling
  • Soft skill training
  • Technical interview preparation
  • Industry-relevant curriculum
  • Strong practical learning approach
  • Internship opportunities
  • AI & Big Data exposure
  • Placement assistance
  • Excellent career prospects
  • Modern campus facilities

Apply now for B.Sc. Data Science at Atharva University and build a future-ready career in Data Science, AI, and Analytics.