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B-SC in Mathematics at SRM Institute of Science and Technology (Deemed to be University)
Chengalpattu, Tamil Nadu
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About the Specialization
What is Mathematics at SRM Institute of Science and Technology (Deemed to be University) Chengalpattu?
This B.Sc Mathematics program at Sri Ramaswamy Memorial Institute of Science and Technology, Chengalpattu, focuses on developing strong foundational and advanced mathematical skills. It emphasizes analytical thinking, problem-solving, and logical reasoning, crucial for various scientific and technological fields. The program integrates core mathematical concepts with applications relevant to the Indian industry.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and an interest in quantitative analysis. It suits students aspiring for careers in academia, research, data science, finance, or engineering, providing a robust theoretical base. Working professionals seeking to transition into analytical roles or enhance their quantitative skills will also find it beneficial.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as data analysts, actuaries, statisticians, quantitative researchers, or educators. Entry-level salaries typically range from INR 3-6 LPA, growing significantly with experience. The program provides a solid foundation for higher studies like M.Sc, MCA, or MBA, opening avenues in top Indian and global companies.
Student Success Practices
Foundation Stage
Master Core Mathematical Concepts- (Semester 1-2)
Focus rigorously on understanding fundamental concepts in Calculus, Algebra, and Differential Equations. Utilize online platforms like Khan Academy and NPTEL for supplementary learning and problem-solving practice. Form study groups with peers to discuss challenging topics and solve problems collaboratively.
Tools & Resources
Khan Academy, NPTEL, NCERT textbooks for foundational review, peer study groups
Career Connection
A strong grasp of fundamentals is essential for advanced mathematics, competitive exams, and analytical roles in data science and finance.
Develop Programming & Computational Skills- (Semester 1-2)
Actively engage in the Ancillary Computer Science labs (C-Programming, Data Structures) to build logical thinking and coding proficiency. Explore online coding challenges on platforms like HackerRank and LeetCode to practice algorithmic problem-solving. Use open-source mathematical tools like Python (with NumPy, SciPy) for hands-on application.
Tools & Resources
HackerRank, LeetCode, Python, NumPy, SciPy
Career Connection
Programming skills are invaluable for data analysis, scientific computing, and IT sectors, enhancing employability in technology-driven roles.
Enhance English Communication and Soft Skills- (Semester 1-2)
Actively participate in Communicative English classes to improve grammar, writing, and speaking skills. Practice public speaking, group discussions, and presentations. Read widely, including academic journals and business articles, to expand vocabulary and comprehension.
Tools & Resources
English newspapers (The Hindu, Indian Express), TED Talks, Toastmasters International (if available)
Career Connection
Effective communication is crucial for professional success, interviews, client interaction, and academic presentations.
Intermediate Stage
Engage in Interdisciplinary Project Work- (Semester 3-5)
Seek out opportunities for mini-projects or research assistantships in areas combining mathematics with other fields like computer science, physics, or economics. Apply theoretical knowledge from Algebra, Analysis, and Complex Analysis to solve real-world problems. Attend workshops and seminars related to mathematical applications.
Tools & Resources
Departmental research groups, faculty mentors, online research platforms (e.g., Google Scholar)
Career Connection
Practical project experience strengthens resumes, develops problem-solving skills, and opens doors to research or specialized industry roles.
Build Specialization through Electives- (Semester 3-5)
Carefully choose Discipline Specific Electives (DSEs) based on career interests (e.g., Graph Theory for computer science applications, Number Theory for cryptography). Deep dive into these chosen areas, reading advanced texts and exploring relevant case studies. Consider pursuing online certifications in these specialized fields.
Tools & Resources
Coursera, edX, NPTEL advanced courses, specialized textbooks
Career Connection
Specialization enhances expertise, making graduates more attractive to specific industry sectors like data analytics, cybersecurity, or finance.
Network and Participate in Competitions- (Semester 3-5)
Attend academic conferences, guest lectures, and industry talks organized by the department or university. Network with faculty, alumni, and industry professionals. Participate in national-level mathematics competitions or hackathons to test skills and gain recognition.
Tools & Resources
LinkedIn, professional societies (e.g., Indian Mathematical Society), inter-collegiate math fests
Career Connection
Networking creates mentorship opportunities and job leads, while competition success demonstrates capability and resilience to potential employers.
Advanced Stage
Focus on Capstone Project & Research- (Semester 6)
Devote significant effort to the final Research/Industrial/Entrepreneurial Project. Select a topic aligned with career aspirations and work closely with faculty mentors. Aim for a publishable-quality report or a practical solution to an industry problem.
Tools & Resources
Academic databases, statistical software (R, SPSS), LaTeX for report writing, faculty mentorship
Career Connection
A strong capstone project showcases advanced problem-solving, research skills, and industry readiness, pivotal for placements or higher studies.
Intensive Placement Preparation- (Semester 6)
Begin rigorous preparation for campus placements or competitive exams. Practice quantitative aptitude, logical reasoning, and verbal ability (utilizing the soft skill courses). Prepare for technical interviews by reviewing core mathematical concepts and practicing coding if pursuing IT roles. Attend mock interviews and resume workshops.
Tools & Resources
Online aptitude tests, interview prep platforms (e.g., Glassdoor), university placement cell resources
Career Connection
Targeted preparation maximizes success in securing desired job roles or admission to postgraduate programs.
Explore Post-Graduation Pathways- (Semester 6)
Research various postgraduate options such as M.Sc in Mathematics, Statistics, Data Science, or MBA programs, considering their entrance exams (e.g., JAM for M.Sc, CAT for MBA). Attend career counseling sessions to clarify long-term goals and plan accordingly.
Tools & Resources
University career counseling, educational consultants, online forums for postgraduate exams
Career Connection
Proactive planning for higher education or specific career tracks ensures a smooth transition and continuous professional growth.
Program Structure and Curriculum
Eligibility:
- A pass in H.Sc. (10+2) or its equivalent with Mathematics as one of the subjects.
Duration: 3 years (6 semesters)
Credits: 114 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UMA21101 | Core Mathematics I (Calculus and Analytical Geometry) | Core | 4 | Differential Calculus, Integral Calculus, Analytical Geometry 2D, Analytical Geometry 3D, Vector Calculus |
| UPA21101 | Ancillary Physics I (Properties of Matter & Acoustics) | Ancillary | 4 | Elasticity, Viscosity, Surface Tension, Sound, Ultrasonics |
| UCS21101 | Ancillary Computer Science I (C-Programming) | Ancillary | 4 | C Fundamentals, Control Structures, Arrays, Functions, Pointers |
| UHS21101 | Communicative English I | English | 3 | Grammar, Reading Comprehension, Writing Skills, Listening, Speaking |
| UMA21111 | Ancillary Mathematics Lab I (Maxlab) | Ancillary Lab | 2 | Basic commands, Matrix operations, Plotting functions, Solving equations, Calculus operations |
| UPA21111 | Ancillary Physics Lab I | Ancillary Lab | 2 | Elasticity Experiments, Viscosity Experiments, Surface Tension Experiments, Sound Velocity Measurement, Spectrometer Experiments |
| UCS21111 | Ancillary Computer Science Lab I (C-Programming) | Ancillary Lab | 2 | C Programming, Control Structures, Arrays, Functions, Pointers |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UMA21201 | Core Mathematics II (Differential Equations) | Core | 4 | First Order ODE, Higher Order Linear ODE, Laplace Transforms, Partial Differential Equations, Fourier Series |
| UPA21201 | Ancillary Physics II (Thermal Physics & Optics) | Ancillary | 4 | Thermodynamics, Heat Transfer, Black Body Radiation, Geometrical Optics, Physical Optics |
| UCS21201 | Ancillary Computer Science II (Data Structures) | Ancillary | 4 | Introduction to Data Structures, Arrays, Stacks, Queues, Linked Lists, Trees, Graphs |
| UHS21201 | Communicative English II | English | 3 | Advanced Grammar, Report Writing, Presentation Skills, Group Discussion, Interview Skills |
| UMA21211 | Ancillary Mathematics Lab II (Open Source Numerical Computing Tools) | Ancillary Lab | 2 | Numerical Methods, Interpolation, Numerical Differentiation, Numerical Integration, Solving ODEs |
| UPA21211 | Ancillary Physics Lab II | Ancillary Lab | 2 | Thermal Conductivity, Refractive Index, Spectrometer Experiments, Lens Experiments, Ohm''''s Law |
| UCS21211 | Ancillary Computer Science Lab II (Data Structures) | Ancillary Lab | 2 | Implementation of Stacks, Queues, Linked Lists, Trees, Sorting, Searching |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UMA21301 | Core Mathematics III (Algebra) | Core | 4 | Groups, Subgroups, Normal Subgroups, Rings, Ideals, Fields |
| UMA21302 | Core Mathematics IV (Analysis) | Core | 4 | Real Number System, Sequences and Series, Limits and Continuity, Differentiation, Riemann Integration |
| UMA21351 | Statistical Methods for Data Science | Generic Elective | 3 | Probability Theory, Random Variables, Probability Distributions, Sampling Methods, Hypothesis Testing, Regression Analysis |
| UVS21361 | Verbal Aptitude | Value Added Course | 1 | Vocabulary Building, Grammar, Reading Comprehension, Critical Reasoning, Sentence Correction |
| UHS21301 | Environmental Science | Skill Enhancement | 3 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Sustainable Development, Environmental Ethics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UMA21401 | Core Mathematics V (Complex Analysis) | Core | 4 | Complex Numbers, Analytic Functions, Complex Integration, Series Expansions, Residue Theorem |
| UMA21402 | Core Mathematics VI (Mechanics) | Core | 4 | Statics of Particles, Dynamics of Particles, Kinematics of Motion, Newton''''s Laws of Motion, Projectiles, Momentum and Impulse |
| UMA21451 | Operations Research | Generic Elective | 3 | Linear Programming, Simplex Method, Transportation Problem, Assignment Problem, Game Theory |
| UVS21461 | Quantitative Aptitude | Value Added Course | 1 | Numbers and Averages, Percentages and Profit/Loss, Time and Work, Ratio and Proportion, Data Interpretation |
| UMA21403 | Skill Enhancement Course (Open Source Software for Mathematical Computations) | Skill Enhancement | 3 | LaTeX for Document Preparation, GNUPlot for Visualization, Python for Mathematical Computing, R for Statistical Analysis, GeoGebra for Geometry |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UMA21501 | Core Mathematics VII (Linear Algebra) | Core | 4 | Vector Spaces, Subspaces and Basis, Linear Transformations, Eigenvalues and Eigenvectors, Inner Product Spaces |
| UMA21502 | Core Mathematics VIII (Number Theory) | Core | 4 | Divisibility Theory, Congruences, Prime Numbers, Number Theoretic Functions, Diophantine Equations |
| UMA21E01 | Graph Theory | Discipline Specific Elective | 4 | Basic Concepts of Graphs, Paths and Circuits, Trees and Forests, Planar Graphs, Graph Coloring |
| UMA21E03 | Discrete Mathematics | Discipline Specific Elective | 4 | Mathematical Logic, Set Theory and Relations, Functions, Combinatorics, Recurrence Relations |
| UMA21505 | Project/Industrial Training/Internship | Project | 4 | Problem Identification, Literature Survey, Methodology Design, Implementation and Analysis, Report Writing and Presentation |
| UVS21561 | Soft Skill I (Self-Discovery & Personality Development) | Soft Skill | 1 | Self-Awareness, Communication Skills, Time Management, Stress Management, Interpersonal Skills |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UMA21601 | Core Mathematics IX (Real Analysis) | Core | 4 | Metric Spaces, Compactness and Connectedness, Uniform Continuity, Sequences of Functions, Power Series |
| UMA21602 | Core Mathematics X (Probability and Statistics) | Core | 4 | Probability Axioms, Random Variables and Distributions, Sampling Distributions, Estimation Theory, Hypothesis Testing, Regression and Correlation |
| UMA21E05 | Numerical Methods | Discipline Specific Elective | 4 | Solutions of Algebraic Equations, Interpolation, Numerical Differentiation, Numerical Integration, Numerical Solutions of ODEs |
| UMA21E07 | Differential Geometry | Discipline Specific Elective | 4 | Curves in Space, Surfaces, First Fundamental Form, Second Fundamental Form, Curvature of Surfaces |
| UMA21605 | Research Project / Industrial Project / Entrepreneurial Project | Project | 4 | Project Proposal Development, Data Collection and Analysis, Results Interpretation, Discussion and Conclusion, Final Project Report and Presentation |
| UVS21661 | Soft Skill II (Career Planning & Employability Skills) | Soft Skill | 1 | Resume and Cover Letter Writing, Interview Techniques, Group Discussion Skills, Professional Ethics, Workplace Etiquette |
