Specialization: Data Science and AI
Session Starts – August 2026
Duration – 4 Years
Residential Degree Program
A new era of innovation in many fields is being fueled by Artificial Intelligence and Data Science. This covers a wide range of fields, such as Computer Science, Public Health, Manufacturing, etc. This specialization will equip the students with high-potential research, design, and programing skills. They further will be able to apply the fundamentals and techniques in the context of real-world industrial and business scenarios.
Semester 1
+| Course Title |
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| Design thinking and creative problem solving |
| Introduction to programming |
| Fundamentals of Applied Chemistry |
| Fundamentals of Applied Physics |
| Fundamentals of Life Sciences |
| Problem Solving Skills in Mathematics |
| Environmental Science |
Semester 2
+| Course Title |
|---|
| English communication |
| Fundamentals of Electronics & Electrical circuits |
| Mathematics for Machine Learning (Major 1 Core) |
| Data Structure & Algorithm (Major 1 Core) |
| Numerical Techniques and Programming (Major 1 Core) |
| Research Writing Skills-Societal Project |
| Existential Dialogue / Indian Knowledge Systems |
| Foundation of Identity and Communication |
Semester 3
+| Course Title |
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| Foundation of Machine Learning (Major 1 Core) |
| Major 2 Core |
| Major 2 Core |
| Digital Design & Computer Architecture (Major 1 Core) |
| Data Analytics using Excel & Power BI (Major 1 Core) |
| ESR Project |
| Responsible Leadership / Indian Heritage and Culture |
| Advanced Communication and Logical Thinking |
Semester 4
+| Course Title |
|---|
| Major 2 Core |
| Data Mining & Data Warehousing (Major 1 Core) |
| Soft Computing (Major 2 Core) |
| Data Visualization with R (Major Core 1) |
| Conceptual Project I |
| Reflecting Self/ Human Values and Ethics |
| Numerical Ability and Personality Refinement |
Semester 5
+| Course Title |
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| Discipline Specific Elective Major 1: Robotics – I / Healthcare AI/ Data Mining & Analysis |
| Major 2 |
| Major 2 |
| Major 1 |
| Conceptual Project II |
| Discipline Specific Elective Major 1: Deep Learning / Exploratory Data Analysis / Databases & SQL |
| Career Readiness for Modern Workspace |
| Summer Internship |
Semester 6
+| Course Title |
|---|
| Discipline Specific Elective Major 1: Digital Forensics – I / Computer Vision / Big Data Technologies |
| Major 2 |
| Major 2 |
| Discipline Specific Elective Major 1: Artificial Intelligence / Quantum Machine Learning Models, Deep Learning for Predictive Analytics |
| Discipline Specific Elective Major 1: Robotics – II / Machine Learning For Robotics / Applied Robotics in Manufacturing and Services |
Semester 7
+| Course Title |
|---|
| Discipline Specific Elective 1 Major 1: Statistical Learning/ Operations Research |
| Discipline Specific Elective 2 Major 2: Public Key Infrastructure / Fundamentals of Clinical Sciences with AI |
| Discipline Specific Elective 1 Major 2: Information and Coding Theory / Computational Fluid Dynamics |
| Research methodology |
| Applicative project I |
Semester 8
+| Course Title |
|---|
| Discipline Specific Elective 1 Major 1: Quantum Deep Learning / Clinical Decision Support Systems |
| Discipline Specific Elective 2 Major 1: Operational Research/ Quantum Cryptography |
| Dissertation |
| Discipline Specific Elective 1 Major 2 |
| Discipline Specific Elective 2 Major 2 |
Acquiring in-depth knowledge of data extraction and mining, understanding various softwares and impact of data analytics on business decisions
Understand neural networks and AI applications and learn to leverage the use of AI in today's world.
Application of mathematical models to write and critique mathematical proofs, utilization of mathematical technology to prove and disprove conjectures.
Investigate, comprehend, and analyse fundamental building blocks, technical methods, mathematical models and solve them with the acquired theoretical knowledge.
Application of methods, principles, epistemic knowledge and theories of scientific inquiry to reasoning or problem-solving.
Ability to gather information on a range of topics, review the information, analyse and interpret the details to support a solution.
Application of statistical or logical techniques to describe and illustrate, condense and recap, and evaluate data.
Woxsen’s Data Science & AI B.Sc (Hons.) degree equips students with degree-level research, design, and programing skills which can be applied in the context of real-world industrial and business scenarios. Graduates of this program can look forward to a variety of career possibilities, including the below.
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*25% seats for admissions are reserved for the students of the State of Telangana under the domicile-based reservation clause mentioned in The Telangana State Private Universities (Establishment and Regulation) Act, 2018.
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