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M.Sc. (Economics)

Decoration

Overview

The M.Sc. (Economics) programme follows an interdisciplinary curriculum, which seeks to develop intellectual discipline, critical and analytical thinking among our students. A rigorous and relevant curriculum catering to the needs of the dynamic nature of the global market ensures overall growth of our students. With a batch of students from diverse academic backgrounds, the exposure to a broad set of ideas, innovations and iterations is guaranteed through their academic journey. Students are evaluated based on various assessments in the form of projects, term papers and research papers. They are also encouraged to write dissertations and aim for research publications. The programme along with the knowledge ethic imbibed at Symbiosis School of Economics, prepares our students to take on the leadership roles in their preferred fields.

First Year:

During the first year of the program the students are given an understanding about the basics of Economics, including the training in the application and quantitative based courses like Mathematical Economics and Econometrics analysis. Our students garner a deeper level understanding of the issues related to the trade and economy overall. During the first year, a broader sense of understanding about the fundamentals of economics is introduced through courses like Microeconomics, Macroeconomics, Growth and Development. Along with the theoretical and quantitative packed courses, we train them in the Research Methodologies through various courses, assignments and applications. Our rigorous framework involving the theoretical, quantitative, and practical understanding of the courses makes our students a better fit in any field they choose to contribute towards in the future.

Final Year Specializations M.Sc. (Economics) - International Trade

This course deals with the theory and practice of International Trade and of traderelated policies. It focuses on analyzing the gains from trade, the changing patterns of trade, the income distributional consequences of liberalizing foreign trade, the relationship between trade, investment, and economic growth, and the reasons for and consequences of trade policies. The course relies predominantly on a standard collection of international trade models to understand the motivations behind modern trade policies. Motives for countries or organizations to restrict or regulate international trade are analyzed and effects of such policies are studied. Although the course emphasizes the understanding of past and current events in the world economy, formal economic modeling is relied upon to help understand these events.

M.Sc. (Economics) - Development Studies

Development studies is a multidisciplinary course that focuses on the evolution of nations from political, cultural, geographical, and socio- economic perspectives. It emerged as an academic discipline during the late part of the 20th century amid growing concerns over third world economies struggling to establish themselves in the postcolonial era. Development studies is about understanding the current political landscape by examining their origins, which then enables academics, politicians, and world charity organizations to make better plans for the future. The primary focus of developmental studies is to study the improvement in people’s lives. It gives insight into developmental theory, understanding of the structural issues and questions of development

M.Sc. (Economics) - Urban Development

Largely considered as a technical field of study involving construction and design of urban spaces, Urban Development takes into account the critical economic and socio-economic factors. The course is interdisciplinary in its approach and students are exposed to technically grounded courses like Geographic Information System (GIS), importance of financial management and governance at Urban Local Bodies, energy, water and sanitation resources in the country and the need to curb urban poverty. Understanding the spread of land in urban areas and planning urban spaces appropriately is the key focus of the course.

M.Sc. (Economics) - Finance

Economics with financial knowledge provides a set of skills with an overall understanding of the economy and financial markets. Our students are equipped with the concepts and training to contribute to the world of finance for the long term. With a solid foundation in core economics built in the first two semesters, this specialization provides the students with in-depth knowledge of the financial sphere. Students gain in-depth knowledge of finance through extensive courses in corporate finance, financial markets, risk, investments, financial modeling, and other applied courses. The specialization provides meticulous practical training that increases the adaptability of our students in this competitive and dynamic field.

M.Sc. (Economics) - Data Science

Data science is the process of building, cleaning, and structuring datasets. Further, data science also involves a process and practice of analysing data to answer questions, extract insights, and identify trends. In today's digital economy, organisations generate large volumes of data from customers, financial transactions, operations, and online platforms. Data science equips you to collect, organise, and analyse this information to generate reliable and meaningful insights. By studying patterns in customer behaviour and market activity, organisations can improve user experiences, strengthen security by detecting risks such as fraud, and support financial forecasting and risk assessment. In manufacturing and operations, data science helps improve efficiency and reduce costs through data-driven monitoring. Beyond business, it plays a crucial role in public policy and academic research by analysing social and economic trends and providing support for evidence-based decision-making. After completing this specialisation, students will be able to work confidently with data across its entire lifecycle, from acquisition and cleaning to analysis, modelling, and interpretation. They will gain hands-on experience using industry-relevant tools such as R, Python, and SQL, and develop a strong foundation in machine learning and AI techniques for solving real-world problems.

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