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B-SC in Economics Mathematics And Statistics at CHRIST (Deemed to be University)
Bengaluru, Karnataka
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About the Specialization
What is Economics, Mathematics and Statistics at CHRIST (Deemed to be University) Bengaluru?
This B.Sc. Economics, Mathematics and Statistics program at CHRIST (Deemed to be University) focuses on developing a strong quantitative foundation for economic analysis. It combines rigorous training in economic theory with advanced mathematical and statistical tools, preparing students for data-driven roles. The program is designed to meet the growing demand for professionals skilled in analytical problem-solving in various Indian industries.
Who Should Apply?
This program is ideal for analytically-minded fresh graduates seeking entry into roles requiring strong quantitative skills in finance, consulting, or data analytics. It also suits individuals with a keen interest in economic policy and research, aspiring to contribute to public sector undertakings or non-profit organizations. A strong aptitude for mathematics at the 10+2 level is a beneficial prerequisite for success.
Why Choose This Course?
Graduates of this program can expect promising career paths in data analysis, financial modeling, market research, and economic consulting within India. Entry-level salaries typically range from INR 4-7 LPA, with significant growth potential up to INR 10-15 LPA for experienced professionals. The interdisciplinary nature aligns well with roles in India’s expanding FinTech sector and policy think tanks.
Student Success Practices
Foundation Stage
Build a Strong Quantitative Foundation- (Semester 1-2)
Dedicate significant time to mastering core concepts in Calculus, Algebra, Probability, and Micro/Macroeconomics. Actively solve problems from textbooks and additional resources to solidify understanding and develop problem-solving aptitude.
Tools & Resources
Khan Academy, NPTEL courses for Maths/Stats, online problem sets, peer study groups
Career Connection
A robust foundation is crucial for advanced courses and forms the bedrock for quantitative roles in finance, data science, and research, directly impacting recruitment in analytical positions.
Develop Proficiency in Statistical Software- (Semester 1-2)
Actively engage with labs for Introductory Statistics and Statistical Software (R/Python). Practice data manipulation, visualization, and basic statistical analysis beyond classroom exercises to build practical programming skills.
Tools & Resources
RStudio, Python (Anaconda/Jupyter), DataCamp, Coursera courses on R/Python for Statistics
Career Connection
Hands-on software skills are highly valued by employers in analytics, market research, and risk management, making graduates more job-ready for junior analyst roles.
Enhance Communication and Critical Thinking- (Semester 1-2)
Participate actively in discussions in English and Human Rights courses. Practice structuring arguments, writing concisely, and presenting ideas clearly, which are essential for academic success and professional interactions.
Tools & Resources
Toastmasters International clubs, university debate societies, online writing resources (Grammarly, Purdue OWL)
Career Connection
Effective communication is vital for presenting analytical findings, collaborating in teams, and excelling in interviews, leading to better career progression in any field.
Intermediate Stage
Apply Theory Through Mini-Projects- (Semester 3-5)
Proactively seek opportunities to apply economic, mathematical, and statistical theories to real-world problems. Undertake small data analysis projects, even if not formally assigned, using publicly available datasets like from Kaggle.
Tools & Resources
Kaggle datasets, UCI Machine Learning Repository, R/Python for data analysis, university research groups
Career Connection
Building a portfolio of practical projects demonstrates problem-solving skills to recruiters, increasing chances for internships and entry-level positions in analytics and consulting.
Gain Industry Exposure via Internships/Workshops- (Semester 3-5)
Actively search for and pursue internships during semester breaks at financial institutions, research firms, or data analytics companies. Attend industry workshops and seminars to understand current trends and network with professionals.
Tools & Resources
University career services, LinkedIn, Internshala, industry conferences, department seminars
Career Connection
Internships provide invaluable practical experience, clarify career interests, and often lead to pre-placement offers, accelerating career entry and providing a competitive edge.
Specialize through Electives and Certifications- (Semester 3-5)
Strategically choose elective courses that align with desired career paths (e.g., econometrics for policy, financial economics for banking). Consider pursuing online certifications in specialized areas like Advanced Excel, SQL, or specific machine learning algorithms.
Tools & Resources
NASSCOM FutureSkills Prime, Udemy, Coursera, official certification bodies for SQL/Tableau
Career Connection
Demonstrating specialized skills makes you a more attractive candidate for niche roles and shows initiative, often translating into higher initial compensation and better job fit.
Advanced Stage
Excel in Project Work and Research- (Semester 5-6)
Devote significant effort to the final year project (Project Work I & II), ensuring it addresses a relevant problem, uses sound methodology, and presents robust findings. Aim for publishable quality if possible, showcasing independent research.
Tools & Resources
Academic journals, research databases (JSTOR, Scopus), statistical software, faculty mentorship
Career Connection
A strong project acts as a powerful resume builder, showcasing independent research capabilities and analytical depth, which is highly valued in research roles, advanced studies, and top-tier companies.
Master Interview and Placement Preparation- (Semester 5-6)
Begin intensive preparation for placements well in advance. Practice aptitude tests, technical interviews covering economics, mathematics, and statistics, and behavioural interviews. Participate in mock interviews and group discussions.
Tools & Resources
Placement cells, online aptitude platforms (IndiaBix), mock interview platforms, company-specific preparation guides
Career Connection
Thorough preparation is key to securing desired job offers. Strong performance in placements directly translates to successful career launch with reputed organizations.
Network Strategically and Build Professional Presence- (Semester 5-6)
Expand your professional network by connecting with alumni, industry leaders, and faculty. Actively engage on platforms like LinkedIn, showcasing projects and skills. Attend career fairs and alumni events for valuable connections.
Tools & Resources
LinkedIn, university alumni portal, career fair events, professional body memberships
Career Connection
Networking opens doors to hidden job opportunities, mentorship, and invaluable career advice, giving graduates a significant advantage in navigating the job market and long-term career growth.
Program Structure and Curriculum
Eligibility:
- Candidate must have passed 10+2 with a minimum of 55% aggregate marks (including Mathematics) from any recognised Board in India or equivalent from overseas. Candidates appearing for the 10+2 final examinations in March-May of the admission year are eligible to apply.
Duration: 3 years / 6 semesters
Credits: 136 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BEC131A | Microeconomics I | Core | 4 | Introduction to Microeconomics, Demand Analysis, Production and Cost, Market Structures - Perfect Competition, Theory of Distribution |
| BMT131 | Calculus | Core | 4 | Differential Calculus, Integral Calculus, Applications of Derivatives, Partial Differentiation, Introduction to Vector Calculus |
| BSS131 | Introductory Statistics | Core | 4 | Introduction to Statistics, Data Representation, Measures of Central Tendency, Measures of Dispersion, Correlation and Regression |
| BSS151 | Statistical Software I (Lab) | Core | 2 | Introduction to R/Python, Data Import/Export, Data Manipulation, Basic Statistical Plots, Descriptive Statistics using Software |
| BHS111 | Communicative English | Core | 3 | Communication Skills, Grammar and Vocabulary, Reading Comprehension, Writing Skills, Presentation Skills |
| BHS121 | Indian Constitution | Core | 2 | Salient Features of Indian Constitution, Fundamental Rights, Directive Principles of State Policy, Union and State Legislature, Judiciary |
| BEV131 | Environmental Studies | Core | 3 | Ecosystems, Natural Resources, Environmental Pollution, Social Issues and the Environment, Environmental Ethics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BEC231 | Macroeconomics I | Core | 4 | Introduction to Macroeconomics, National Income Accounting, Classical and Keynesian Economics, Consumption and Investment, Monetary and Fiscal Policy |
| BMT231 | Algebra | Core | 4 | Group Theory, Rings and Fields, Vector Spaces, Linear Transformations, Matrices and Determinants |
| BSS231 | Probability and Distributions | Core | 4 | Probability Theory, Random Variables, Standard Discrete Distributions, Standard Continuous Distributions, Sampling Distributions |
| BSS251 | Statistical Software II (Lab) | Core | 2 | Hypothesis Testing using Software, Regression Analysis using Software, ANOVA using Software, Time Series Plots, Data Visualization |
| BHS211 | Professional English | Core | 3 | Business Communication, Report Writing, Email Etiquette, Interview Skills, Group Discussions |
| BHS221 | Human Rights and Social Justice | Core | 2 | Concept of Human Rights, Universal Declaration of Human Rights, Human Rights in India, Social Justice Issues, Role of NGOs |
| BHS231 | History of Science and Technology | Core | 3 | Ancient Science, Medieval Scientific Revolution, Industrial Revolution, Modern Scientific Discoveries, Technology and Society |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BEC331 | Microeconomics II | Core | 4 | General Equilibrium, Welfare Economics, Game Theory, Externalities and Public Goods, Asymmetric Information |
| BMT331 | Differential Equations | Core | 4 | First Order Ordinary Differential Equations, Second Order Ordinary Differential Equations, Series Solutions, Laplace Transforms, Partial Differential Equations |
| BSS331 | Sampling Methods | Core | 4 | Sampling Fundamentals, Simple Random Sampling, Stratified Random Sampling, Systematic Sampling, Ratio and Regression Estimators |
| BSS351 | R for Statistics (Lab) | Core | 2 | Advanced R Programming, Data Structures in R, Statistical Graphics in R, Data Manipulation with dplyr, Functions and Loops |
| BEO311 | Organizational Behaviour | Open Elective | 3 | Introduction to Organizational Behaviour, Personality and Perception, Motivation and Leadership, Group Dynamics, Conflict Management |
| BCA341 | Data Analytics using Excel | Skill Enhancement Course | 3 | Excel Functions and Formulas, Data Analysis Tools in Excel, Pivot Tables and Charts, Data Validation and Conditional Formatting, What-If Analysis |
| BGE311 | Critical Thinking and Research Methodology | Generic Elective | 3 | Basics of Critical Thinking, Logic and Argumentation, Research Design and Ethics, Data Collection Methods, Academic Writing and Referencing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BEC431 | Macroeconomics II | Core | 4 | Economic Growth Models, Business Cycles, Open Economy Macroeconomics, Exchange Rate Regimes, International Trade |
| BMT431 | Real Analysis | Core | 4 | Real Number System, Sequences and Series of Real Numbers, Continuity and Differentiation, Riemann Integration, Metric Spaces |
| BSS431 | Statistical Inference I | Core | 4 | Estimation Theory, Properties of Estimators, Methods of Estimation (MLE, MOM), Hypothesis Testing Fundamentals, Likelihood Ratio Tests |
| BSS451 | SAS for Data Analysis (Lab) | Core | 2 | Introduction to SAS Programming, SAS Data Step for Data Preparation, SAS Procedures for Statistical Analysis, Data Management Techniques in SAS, Report Generation with SAS |
| BGE411 | Fundamentals of Data Science | Generic Elective | 3 | Introduction to Data Science Workflow, Data Collection and Preprocessing, Exploratory Data Analysis, Data Visualization Techniques, Introduction to Machine Learning Concepts |
| BCE441 | Entrepreneurship Development | Skill Enhancement Course | 3 | Concept of Entrepreneurship, Business Plan Development, Marketing Strategies for Startups, Funding Sources and Financial Planning, Legal and Ethical Aspects of Business |
| BEC461 | Indian Economy | Discipline Specific Elective | 3 | Features of Indian Economy, Economic Reforms in India, Agriculture Sector in India, Industrial Sector Development, Service Sector Growth |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BEC531 | Indian Economic Development | Core | 4 | Growth and Development Theories, Poverty and Inequality in India, Population and Human Development, Agricultural Policy and Food Security, Industrial Policy and Structural Change |
| BMT531 | Complex Analysis | Core | 4 | Complex Numbers and Functions, Analytic Functions and Cauchy-Riemann Equations, Complex Integration and Cauchy''''s Theorem, Cauchy''''s Integral Formula, Taylor and Laurent Series Expansions |
| BSS531 | Statistical Inference II | Core | 4 | Non-parametric Tests, Analysis of Variance (ANOVA), Design of Experiments, Statistical Decision Theory, Introduction to Bayesian Inference |
| BSS551 | Statistical Modelling (Lab) | Core | 2 | Linear Regression Modeling in R/Python, Logistic Regression and Generalized Linear Models, Time Series Analysis Techniques, Survival Analysis Basics, Introduction to Advanced Machine Learning Models |
| BEE561 | International Economics | Discipline Specific Elective | 3 | Theories of International Trade, Trade Policy and Protectionism, Balance of Payments Analysis, Foreign Exchange Markets, International Economic Institutions |
| BEC562 | Public Economics | Discipline Specific Elective | 3 | Role of Government in the Economy, Public Goods and Externalities, Principles of Taxation, Public Expenditure Analysis, Fiscal Policy and Debt Management |
| BPR581 | Project Work I | Project | 3 | Research Problem Formulation, Literature Review and Gap Analysis, Methodology Design and Data Collection, Preliminary Data Analysis, Report Writing and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BEC631 | Econometrics | Core | 4 | Introduction to Econometrics, Classical Linear Regression Model, Violations of CLRM Assumptions, Time Series Econometrics, Panel Data Models |
| BMT631 | Numerical Methods | Core | 4 | Solutions of Algebraic and Transcendental Equations, Interpolation and Approximation, Numerical Differentiation, Numerical Integration, Numerical Solutions of Ordinary Differential Equations |
| BSS631 | Operations Research | Core | 4 | Linear Programming Problems, Simplex Method, Transportation Problem, Assignment Problem, Network Analysis (CPM/PERT) |
| BSS651 | Data Analytics with Python (Lab) | Core | 2 | Python Fundamentals for Data Science, Data Manipulation with Pandas and NumPy, Data Visualization with Matplotlib/Seaborn, Introduction to Machine Learning Libraries (Scikit-learn), Web Scraping and API Interaction |
| BEC661 | Development Economics | Discipline Specific Elective | 3 | Theories of Economic Development, Poverty, Inequality, and Malnutrition, Human Capital and Health, Sustainable Development Goals, Globalization and Development Strategies |
| BEC662 | Financial Economics | Discipline Specific Elective | 3 | Financial Markets and Instruments, Asset Pricing Models, Portfolio Theory and Diversification, Derivatives Markets, Risk Management in Finance |
| BPR681 | Project Work II | Project | 3 | Advanced Data Analysis and Interpretation, Drawing Conclusions and Recommendations, Comprehensive Report Writing, Project Presentation Skills, Ethical Considerations in Research |
