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B-SC-LIBERAL-ARTS-HONS-SSLA in Mathematics at Symbiosis International University (SIU)
Pune, Maharashtra
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About the Specialization
What is Mathematics at Symbiosis International University (SIU) Pune?
This Mathematics specialization program at Symbiosis School for Liberal Arts (SSLA) offers a comprehensive exploration of mathematical theories and their interdisciplinary applications. It integrates core mathematical rigor with liberal arts thinking, preparing students for diverse analytical roles. The program emphasizes problem-solving, logical reasoning, and critical analysis, crucial skills in India''''s rapidly evolving tech and data-driven industries.
Who Should Apply?
This program is ideal for curious students with a strong aptitude for numbers and a desire for a broader educational experience beyond traditional STEM. It suits fresh graduates seeking entry into data science, finance, research, or academia, and those aspiring to roles demanding strong analytical and quantitative skills across various Indian sectors.
Why Choose This Course?
Graduates of this program can expect to pursue dynamic career paths in India, including data analyst, financial quant, actuarial analyst, research associate, or educator. Entry-level salaries typically range from INR 4-8 LPA, with significant growth potential. The interdisciplinary skills developed foster adaptability, making graduates highly valuable in consulting and technology firms.
Student Success Practices
Foundation Stage
Build a Strong Mathematical Core- (Semester 1-2)
Dedicate time to thoroughly understand foundational concepts in calculus, linear algebra, and discrete mathematics. Practice regularly with diverse problems to solidify understanding and develop problem-solving intuition, which is crucial for advanced studies and analytical roles.
Tools & Resources
Khan Academy, NPTEL courses for foundational math, MIT OpenCourseWare (Calculus, Linear Algebra), Practice problem sets from textbooks
Career Connection
Mastering these fundamentals creates a robust base for any quantitative career, making it easier to grasp complex algorithms in data science or financial modeling.
Develop Interdisciplinary Reading Habits- (Semester 1-2)
Engage with readings from other Liberal Arts disciplines like Economics, Philosophy, or Computer Science. This helps connect mathematical concepts to real-world applications and broadens perspectives, a key strength of the SSLA program.
Tools & Resources
JSTOR, Project Gutenberg, Reputable online news sources (e.g., The Hindu, Livemint for economic data), Cross-disciplinary journals
Career Connection
This practice enhances critical thinking and communication, vital for roles requiring explaining complex mathematical ideas to non-technical stakeholders in Indian companies.
Participate in Math Clubs and Competitions- (Semester 1-2)
Join the SSLA Mathematics club or participate in university-level math olympiads and problem-solving competitions. This fosters peer learning, exposes you to challenging problems, and hones competitive skills, improving resume visibility.
Tools & Resources
SSLA Math Club, Inter-collegiate math competitions, Online platforms like CodeChef or HackerRank for algorithmic challenges
Career Connection
Such involvement demonstrates initiative and problem-solving prowess, highly valued by Indian recruiters in analytics and research firms.
Intermediate Stage
Acquire Programming and Data Skills- (Semester 3-5)
Learn a programming language essential for data analysis, such as Python or R. Focus on libraries like NumPy, Pandas, Matplotlib, and Scikit-learn to apply mathematical concepts to real datasets and build practical models.
Tools & Resources
Python (with Anaconda distribution), RStudio, Coursera/Udemy courses (Python for Data Science), Kaggle for datasets and challenges
Career Connection
Proficiency in data analysis tools directly translates to roles as Data Analysts, Business Intelligence Developers, or Junior Data Scientists in India''''s IT and analytics sectors.
Pursue Internships or Research Projects- (Semester 3-5)
Seek summer internships in quantitative roles within finance, analytics, or research firms. Alternatively, engage in faculty-mentored research projects that apply mathematical principles to real-world problems. This provides crucial industry exposure.
Tools & Resources
SSLA Career Services portal, LinkedIn for internship searches, University faculty for research opportunities, Indeed.com, Internshala for Indian internship listings
Career Connection
Internships offer practical experience, network building, and often lead to pre-placement offers (PPOs) in Indian companies, significantly boosting post-graduation employment chances.
Explore Interdisciplinary Minors/Electives- (Semester 3-5)
Strategically choose minors or electives in fields like Economics, Computer Science, Finance, or Statistics. This complements your Mathematics major, making you a more versatile candidate for cross-functional roles in India''''s diverse economy.
Tools & Resources
SSLA Academic Handbook for minor/elective options, Discussions with academic advisors, Online resources about interdisciplinary career paths
Career Connection
A strong interdisciplinary profile makes you highly attractive for niche roles in fintech, econophysics, or computational biology, demonstrating adaptability and broader applicability of your skills.
Advanced Stage
Build a Professional Portfolio and Network- (Semester 6-8)
Compile a portfolio of your projects, research papers, and competition achievements. Actively network with industry professionals, alumni, and potential employers through workshops, seminars, and LinkedIn. Leverage your university''''s career services.
Tools & Resources
GitHub for project showcases, LinkedIn for professional networking, Industry conferences and webinars, SSLA Alumni network events
Career Connection
A strong portfolio and network are critical for job hunting in India, enabling you to stand out to recruiters and access hidden job markets for specialized roles.
Prepare for Advanced Studies/Certifications- (Semester 6-8)
If aspiring for higher education, prepare for GRE/GMAT and research master''''s or PhD programs. For industry, consider certifications like Actuarial Science exams, CFA (for finance), or advanced data science certifications to specialize and enhance employability.
Tools & Resources
Official exam preparation materials (GRE, GMAT, SOA, IAI, CFA), Online learning platforms (edX, Coursera for specialized courses), Career counselors for guidance on further education
Career Connection
These certifications or advanced degrees open doors to higher-paying, specialized roles in actuarial consulting, quantitative finance, or research and development in India and abroad.
Refine Communication and Presentation Skills- (Semester 6-8)
Practice articulating complex mathematical ideas clearly and concisely through presentations, technical writing, and mock interviews. The liberal arts foundation provides an edge in effectively communicating with diverse audiences.
Tools & Resources
Toastmasters International (for public speaking), Writing centers at SSLA, Mock interview sessions with career services, Presentations in seminars and group projects
Career Connection
Exceptional communication skills are highly sought after in Indian corporate settings, especially for roles involving client interaction, project leadership, or translating technical insights for business decisions.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination from a recognized Board with a minimum of 50% marks (45% for SC/ST candidates). For B.Sc. Liberal Arts with Mathematics Major, students typically require Mathematics as a subject at the 10+2 level.
Duration: 4 years (8 semesters)
Credits: 184 credits Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7693 | Introduction to Liberal Arts | Foundation Course (FC) | 4 | What is Liberal Arts, Interdisciplinary Thinking, Critical Reading, Analytical Writing, Research Ethics |
| T7694 | Communication Skills | Ability Enhancement Compulsory Course (AECC) | 2 | Verbal Communication, Non-Verbal Communication, Active Listening, Presentation Skills, Group Discussions |
| T7695 | Foundations of Mathematics for Liberal Arts | Core Course (CC) | 4 | Logic and Sets, Number Theory, Basic Algebra, Mathematical Reasoning, Problem-Solving Strategies |
| T7696 | Environmental Studies | Ability Enhancement Compulsory Course (AECC) | 2 | Ecosystems, Biodiversity, Pollution, Environmental Policies, Sustainable Development |
| T7697 | Introduction to Social Sciences | Foundation Course (FC) | 4 | Sociology, Political Science, Economics, Psychology, Research Methods |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7698 | Critical Thinking | Foundation Course (FC) | 4 | Logic and Argumentation, Fallacies, Decision Making, Ethical Reasoning, Problem Identification |
| T7699 | Creative Writing | Skill Enhancement Course (SEC) | 2 | Narrative Techniques, Poetry, Scriptwriting Basics, Editing Skills, Storytelling |
| T7700 | Calculus and its Applications | Core Course (CC) | 4 | Limits and Continuity, Differentiation, Integration, Differential Equations, Optimization Problems |
| T7701 | History of Ideas | Foundation Course (FC) | 4 | Ancient Philosophies, Renaissance Thought, Enlightenment, Modernism, Postmodernism |
| T7702 | Introduction to Digital Tools | Skill Enhancement Course (SEC) | 2 | Data Management, Presentation Software, Spreadsheet Applications, Online Collaboration, Cyber Security Basics |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7703 | Linear Algebra | Discipline Specific Elective (DSE) / Major | 4 | Vector Spaces, Matrices and Determinants, Linear Transformations, Eigenvalues and Eigenvectors, Systems of Linear Equations |
| T7704 | Introduction to Probability and Statistics | Discipline Specific Elective (DSE) / Major | 4 | Probability Axioms, Random Variables, Probability Distributions, Descriptive Statistics, Hypothesis Testing Basics |
| T7705 | Mathematical Reasoning and Problem Solving | Skill Enhancement Course (SEC) | 2 | Proof Techniques, Combinatorics, Graph Theory Basics, Recursive Thinking, Algorithmic Approach |
| T7706 | Philosophy of Science | Generic Elective (GE) | 4 | Scientific Method, Falsification, Theory vs. Observation, Ethics in Science, Scientific Revolutions |
| T7707 | Interdisciplinary Elective I | Generic Elective (GE) | 4 | Selected topics from Arts/Humanities/Social Sciences, Contextual Studies, Cross-Disciplinary Research, Critical Analysis, Contemporary Issues |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7708 | Real Analysis | Discipline Specific Elective (DSE) / Major | 4 | Sequences and Series, Continuity and Differentiation of Functions, Riemann Integration, Metric Spaces, Uniform Convergence |
| T7709 | Differential Equations and Modeling | Discipline Specific Elective (DSE) / Major | 4 | First Order Equations, Higher Order Linear Equations, Laplace Transforms, Systems of ODEs, Mathematical Modeling |
| T7710 | Data Analysis using R/Python | Skill Enhancement Course (SEC) | 2 | Data Structures in R/Python, Data Visualization, Statistical Programming, Data Cleaning, Basic Machine Learning |
| T7711 | Logic and Discrete Mathematics | Generic Elective (GE) | 4 | Propositional Logic, Predicate Logic, Set Theory, Relations and Functions, Counting Principles |
| T7712 | Interdisciplinary Elective II | Generic Elective (GE) | 4 | Selected topics from Arts/Humanities/Social Sciences, Contextual Studies, Cross-Disciplinary Research, Critical Analysis, Contemporary Issues |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7713 | Abstract Algebra | Discipline Specific Elective (DSE) / Major | 4 | Group Theory, Ring Theory, Field Theory, Homomorphisms, Quotient Structures |
| T7714 | Numerical Methods | Discipline Specific Elective (DSE) / Major | 4 | Root Finding Methods, Interpolation, Numerical Integration, Solution of Linear Systems, Numerical Solutions of ODEs |
| T7715 | Operational Research | Discipline Specific Elective (DSE) / Major | 4 | Linear Programming, Simplex Method, Transportation Problems, Assignment Problems, Game Theory |
| T7716 | Major Elective I (Mathematics) | Discipline Specific Elective (DSE) / Major Elective | 4 | Topology, Complex Analysis, Mathematical Economics, Financial Mathematics, Mathematical Biology |
| T7717 | Research Methodology | Skill Enhancement Course (SEC) | 2 | Research Design, Data Collection Methods, Statistical Analysis, Report Writing, Academic Ethics |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7718 | Complex Analysis | Discipline Specific Elective (DSE) / Major | 4 | Complex Numbers, Analytic Functions, Conformal Mappings, Contour Integration, Residue Theorem |
| T7719 | Partial Differential Equations | Discipline Specific Elective (DSE) / Major | 4 | First Order PDEs, Classification of PDEs, Wave Equation, Heat Equation, Laplace Equation |
| T7720 | Stochastic Processes | Discipline Specific Elective (DSE) / Major | 4 | Markov Chains, Poisson Processes, Random Walks, Brownian Motion, Applications in Finance |
| T7721 | Major Elective II (Mathematics) | Discipline Specific Elective (DSE) / Major Elective | 4 | Cryptography, Image Processing, Biomathematics, Dynamical Systems, Coding Theory |
| T7722 | Internship/Field Project | Skill Enhancement Course (SEC) | 4 | Industry Exposure, Practical Problem Solving, Project Documentation, Teamwork, Report Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7723 | Functional Analysis | Discipline Specific Elective (DSE) / Major | 4 | Normed Linear Spaces, Banach Spaces, Hilbert Spaces, Bounded Linear Operators, Spectral Theory |
| T7724 | Discrete Mathematics and Algorithms | Discipline Specific Elective (DSE) / Major | 4 | Advanced Graph Theory, Algorithm Design, Complexity Analysis, Network Flow, Cryptography Algorithms |
| T7725 | Mathematical Finance | Discipline Specific Elective (DSE) / Major Elective | 4 | Financial Markets, Option Pricing Models, Risk Management, Stochastic Calculus in Finance, Portfolio Optimization |
| T7726 | Major Elective III (Mathematics) | Discipline Specific Elective (DSE) / Major Elective | 4 | Computational Fluid Dynamics, Number Theory and Cryptography, Fuzzy Logic, Wavelet Analysis, Game Theory and Applications |
| T7727 | Research Project / Dissertation I | Project | 4 | Literature Review, Problem Formulation, Methodology Development, Initial Data Collection, Progress Reporting |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7728 | Topology | Discipline Specific Elective (DSE) / Major | 4 | Topological Spaces, Continuity and Homeomorphisms, Connectedness, Compactness, Quotient Spaces |
| T7729 | Advanced Statistics and Machine Learning | Discipline Specific Elective (DSE) / Major | 4 | Multivariate Analysis, Regression Models, Classification Algorithms, Clustering Techniques, Deep Learning Basics |
| T7730 | Actuarial Science | Discipline Specific Elective (DSE) / Major Elective | 4 | Life Contingencies, Risk Theory, Financial Economics for Actuaries, Insurance Products, Pension Fund Management |
| T7731 | Major Elective IV (Mathematics) | Discipline Specific Elective (DSE) / Major Elective | 4 | Tensor Analysis, Category Theory, Advanced Partial Differential Equations, Computational Mathematics, History of Mathematics |
| T7732 | Research Project / Dissertation II | Project | 8 | Data Analysis and Interpretation, Results and Discussion, Conclusion and Future Scope, Thesis Writing, Viva Voce Preparation |
