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B.Sc. (Hons) Computer Science – AI & Data Analytics

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The B.Sc. (Hons) Computer Science – AI & Data Analytics program provides a future-focused foundation in computing, artificial intelligence, and data-driven problem-solving. Through flexible online learning, students develop skills in data analysis, machine learning, deep learning, big data, programming, and cloud technologies-gaining end-to-end experience across the AI and analytics pipeline. This program prepares graduates for high-growth careers in data analytics, AI engineering, business intelligence, automation, and intelligent system development.

The B.Sc. (Hons) Computer Science – AI & Data Analytics program provides a future-focused foundation in computing, artificial intelligence, and data-driven problem-solving. Through flexible online learning, students develop skills in data analysis, machine learning, deep learning, big data, programming, and cloud technologies-gaining end-to-end experience across the AI and analytics pipeline. This program prepares graduates for high-growth careers in data analytics, AI engineering, business intelligence, automation, and intelligent system development.

Program Duration

B.Sc. (Hons) Computer Science – Artificial Intelligence & Data Analytics is a 4-year program, divided into 8 semesters.

Eligibility

Candidates must have at least 50% in 12th grade with Mathematics as a core subject.

Exit Option

Students enrolled in the 4-year online B.Sc. (Hons) Computer Science in AI & DA program can exit at 3-years with B.Sc. Computer Science – Artificial Intelligence & Data Analytics.

Program Curriculum

Click here

Specialization Electives 

Specialization Electives

  • Big Data Analytics
  • Predictive Analytics
  • Time series Analysis
  • Computer Vision
  • Generative AI
  • Clinical Decision Support Systems
  • Natural Language Processing
  • Machine Learning App Development
  • Reinforcement Learning
  • Cryptography
  • Internet of Things
  • Object Oriented Programming with Java
Skill Enhancement Courses

Skill Enhancement Courses

  • Advanced Excel
  • Deep Learning Models using Tensorflow
  • DevOps for Software Development
  • Flutter tool for web development
  • Tableau for Data Visualization
  • Shell Scripting
  • Agile project management
  • Advanced SQL
  • Jamovi for Statistical Analysis
  • Web Scraping Tool
  • PySpark for Data Analysis
  • Microsoft Azure AI Platform for AI based application development
  • Power BI

What makes studying B.Sc. (Hons) Computer Science – AI & Data Analytics online a valuable option?

Studying this program online offers the perfect blend of flexibility, industry relevance, and career-ready skills. Learners can access high-quality curriculum, expert faculty, and hands-on training without geographic or time constraints. The online format allows students to learn at their own pace, balance work or personal commitments, and build strong practical skills through virtual labs, projects, and real-world case studies.
With access to digital tools, AI platforms, and analytics software, students gain experience that mirrors modern workplace environments. The program’s structure ensures that graduates are equipped with in-demand AI and data analytics skills, making them competitive in a rapidly growing global tech landscape.

Standout Features

  • UGC-Entitled Online Degree
  • Dual Degree Opportunity
  • Career-Focused Curriculum
  • Flexible & Convenient Learning
  • Affordable & Accessible Education
  • Globally Recognized Qualification
  • Industry-Aligned Skill Development
  • Future-Ready AI & Data Science Training

Program Perks

Industry-Oriented Curriculum: The B.Sc. (Hons) Computer Science – AI & Data Analytics online program features an industry-driven curriculum focused on practical applications of artificial intelligence, data analytics, machine learning, and modern computing. Aligned with current market expectations, it equips learners with job-ready skills and real-world project experience that today’s employers actively seek.
High Growth & Income Potential: With strong capabilities in AI, analytics, and intelligent technologies, graduates are highly sought after in sectors such as IT, finance, healthcare, business analytics, cybersecurity, and e-commerce. The booming demand for AI and data specialists offers exceptional opportunities for career advancement and higher earning potential.
Expert Faculty & Industry Mentorship: Courses are delivered by experienced faculty members and industry practitioners who bring deep academic knowledge and real-world expertise. Students benefit from mentorship on cutting-edge tools, best practices, and evolving technological trends, helping them stay competitive in a fast-changing digital landscape.
Professional Skill Development: Learners develop advanced skills in programming, statistical analysis, machine learning models, big data platforms, cloud tools, and AI-based solutions. This comprehensive skill set empowers graduates to design intelligent systems, automate processes, support data-driven decisions, and drive innovation across diverse industries.

Career Prospects

BI Analyst / Reporting Analyst

BI Analyst / Reporting Analyst

A BI Analyst creates dashboards and automated reports to help managers understand business performance. They turn raw data into clear visuals so companies can make better decisions and improve their operations.

AI Product Associate

AI Product Associate

An AI Product Associate works between technical teams and business teams. They help plan AI features, understand user needs, and support the development of AI-based products. This role suits students who enjoy technology, creativity, and problem-solving.

Junior Data Scientist

Junior Data Scientist

A Junior Data Scientist uses statistics, machine learning, and coding to solve business problems. They work on prediction models, NLP tasks, A/B testing, and data analysis. This role needs strong math, Python skills, and analytical thinking.

Customer & Marketing Analytics Executive

Customer & Marketing Analytics Executive

This role focuses on understanding customer behaviour and improving marketing performance. They work on customer segmentation, campaign analysis, and conversion tracking. Ideal for students interested in data + business + consumer behaviour.

Junior NLP Analyst

Junior NLP Analyst

A Junior NLP Analyst works with text data like customer reviews and chat messages. They help build chatbots, text classification models, and sentiment analysis tools. Perfect for students interested in language, AI, and text analytics.

Data Visualization Specialist

Data Visualization Specialist (Entry-Level)

A Data Visualization Specialist creates charts, dashboards, and visual reports using tools like Power BI and Tableau. Their visuals help companies quickly understand trends and make informed decisions.

Process Automation Associate

Process Automation Associate (RPA Assistant)

This role uses RPA tools like UiPath to automate repetitive tasks. They design workflows, build bots, and test automation processes. Great for students who enjoy logical thinking and simplifying work processes.

IoT Data Analyst

IoT Data Analyst (Entry-Level)

An IoT Data Analyst works with data from smart devices and sensors. They monitor device performance, identify issues, and build dashboards for real-time insights. Suitable for students interested in IoT, sensors, and real-time analytics.

Financial Data Analyst

Financial Data Analyst (Entry-Level)

A Financial Data Analyst analyzes financial data, transactions, and market trends. They support budgeting, forecasting, and risk assessment using Excel, SQL, Python, and BI tools. Ideal for students who enjoy numbers and finance.

Support Offered During the Program 

  • Online Orientation Program 
  • Weekly Lesson Plan
  • Interactive Self-Learning Materials
  • Online Review Sessions
  • Predefined Academic Calendar
  • Intuitive LMS Platform
  • Faculty Mentorship

Tools You Will Master

Hands-on with industry tools and frameworks used across AI, Machine Learning, Data Analytics, and Web Development.

SQL
r
Power BI
tableau
tensorflow
microsoft azure
aws

FAQs

Is the online degree equivalent to a regular on-campus degree?

Yes. This program is offered under the UGC Entitled Category, giving it the same academic recognition and validity as a traditional on-campus degree.

No. Students from any stream can apply. The program starts with foundational subjects, allowing beginners to learn comfortably and build skills step-by-step.

All assessments are conducted online through quizzes, assignments, proctored examinations, practical evaluations, and project submissions.

You will learn through a mix of live interactive sessions, recorded lectures, self-paced modules, and hands-on activities, ensuring complete flexibility.

Yes. The curriculum includes practical exercises using real datasets, industry case studies, virtual labs, and applied AI/ML projects.

Yes. Students receive career support, including résumé building, interview preparation, soft skills training, and access to industry hiring partners.

The capstone project guides you through solving a real-world AI or data analytics problem—covering data collection, cleaning, model building, evaluation, and deployment.

You will work with essential tools such as Python, SQL, Power BI, Tableau, TensorFlow, Pandas, NumPy, Jupyter Notebook, and cloud-based platforms like AWS or Azure.

Absolutely. The program is designed for flexibility with recorded content, weekend live classes, and self-paced learning, making it ideal for working professionals.

You’ll have access to discussion forums, mentor support, faculty guidance, doubt-clearing sessions, and recorded lectures to help you learn effectively at your pace.