Specialization: Applied Mathematics
Session Starts – August 2026
Duration – 4 Years
Residential Degree Program
Round Deadline - 22nd July 2026
Applied Mathematics specialization has been meticulously designed to provide a strong foundation for advanced academic and professional activities. For students with strong theoretical and applied interests, this specialization aims to provide them with a broad and deeper understanding of applied mathematics. It covers a wide array of mathematical topics such as numerical computations, mathematical modeling to abstract methods and emphasizes its application to real-world problems through its academic pedagogy.
Semester 1
+| Course Title |
|---|
| 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) |
| Major 2 (Core) |
| Numerical Techniques and Programming |
| Research Writing Skills-Societal Project |
| Existential Dialogue / Indian Knowledge Systems |
| Foundation of Identity and Communication |
Semester 3
+| Course Title |
|---|
| Ordinary & Partial Differential Equations (Major 1 Core) |
| Multivariable Calculus (Major 1 Core) |
| Major 2 (Core) |
| Data Analytics using Excel & Power BI (Major 2 Core) |
| ESSR Project |
| Responsible Leadership / Indian Heritage and Culture |
| Advanced Communication and Logical Thinking |
Semester 4
+| Course Title |
|---|
| Discrete Mathematics (Major 1 Core) |
| (Major 1 Core) |
| (Major 2 Core) |
| Data Visualization with R (Major 2 Core) |
| Conceptual Project I |
| Reflecting Self/ Human Values and Ethics |
| Numerical Ability and Personality Refinement |
Semester 5
+| Course Title |
|---|
| (Major 1 Core) |
| Discipline Specific Elective 1 Major 1: Number Theory / Abstract Algebra |
| Discipline Specific Elective 2 Major 1: Complex Analysis / Real Analysis / Advanced Calculus |
| (Major 2 Core) |
| Conceptual Project II |
| (Major 2 Core) |
| Career Readiness for Modern Workspace |
| Summer Internship |
Semester 6
+| Course Title |
|---|
| Discipline Specific Elective 1 Major 1: Cryptography / Natural Language Processing / Advanced Mechanics |
| Discipline Specific Elective 2 Major 1: Ethical Hacking & Penetration Testing / Ethics & Responsible AI |
| Discipline Specific Elective 1 Major 2 |
| Discipline Specific Elective 2 Major 2 |
| Discipline Specific Elective 3 Major 1 |
Semester 7
+| Course Title |
|---|
| Discipline Specific Elective 1 (Major 1): Nonlinear Dynamics/ Information & Coding Theory |
| Discipline Specific Elective 2 (Major 1): Computational fluid dynamics / Linear Programming |
| Discipline Specific Elective Major 1: Statistical Learning / Financial Econometrics |
| Discipline Specific Elective 1: Major 2 |
| Discipline Specific Elective 2: Major 2 |
| Research methodology |
Semester 8
+| Course Title |
|---|
| Discipline Specific Elective 1 (Major 1): Stochastic Calculus/ Differential Geometry |
| Discipline Specific Elective 2 (Major 1): Analytical Dynamics / Computational Geometry |
| 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.
B.Sc (Hons.) specialization in Applied Mathematics will empower students to shape their passion into a career by providing a solid foundation in various analytical and problem solving skills preparing them for the intense research they will take up in future. 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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