• Develop Critical Thinking and Problem-Solving Skills
  Equip students with the ability to analyze complex economic issues and data, identify patterns, and devise practical solutions using statistical tools and economic theories.

• Enhance Data Literacy and Analytical Skills
  Foster proficiency in handling, analyzing, and interpreting large datasets, enabling students to make data-driven decisions in sectors such as finance, policy, and business.

• Cultivate Strong Communication and Collaboration
  Strengthen students’ ability to effectively communicate economic insights, statistical findings, and data interpretations, while working independently and in multidisciplinary teams.

• Advance Digital Proficiency
  Ensure students are skilled in using modern statistical software and digital tools for data analysis, economic modeling, and research, keeping pace with evolving technological advancements.

Promote Ethical and Responsible Decision-Making
Instill awareness of ethical standards in data management, economic research, and professional conduct, encouraging responsible and socially-aware practices.

• PO1. Understand and apply fundamental principles, concepts and methods in critical areas of science and multidisciplinary fields.

• PO2. Demonstrate problem-solving, analytical and logical skills to provide solutions for scientific requirements.

• PO3. Develop critical thinking with a scientific temper.

• PO4. Communicate the subject effectively.

• PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.

• PO6. Understand professional, ethical, and social responsibilities.

• PO7. Enhance research culture and uphold scientific integrity and objectivity.

• PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.

• PSO1. Analytical Thinking : Develop the ability to understand and apply abstract and quantitative concepts in Economics and Statistics, leading to theories and models that explain economic phenomena.

• PSO2. Problem Analysis and Solution Design: Identify, analyse, and design solutions for real-world economic issues using fundamental principles of Economics, Statistics, and related domain disciplines.

• PSO3. Proficiency in Statistical Tools : Acquire the skills to use statistical software and tools for data analysis, economic forecasting, and interpretation of economic trends across various sectors.

• PSO4. Professional Ethics and Social Responsibility : Understand and adhere to ethical standards, including data integrity, privacy regulations, and norms of professional practices in economic and statistical research.

• PSO5. Research and Data Analysis : Utilise research-based methods, including data collection, statistical analysis, and interpretation, to draw valid conclusions about economic trends and behaviours.

• PSO6. Effective Teamwork and Collaboration: Function efficiently as an individual and as a team member or leader in diverse teams and multidisciplinary environments, particularly in economic research and data analysis projects.

• PSO7. Application Across Multidisciplinary Domains: Understand the role of statistical approaches and economic theories, applying them to solve real-life problems in fields like finance, policy-making, business, and development.

• PSO8. Project Management in Economic Research : Apply statistical and economic knowledge to analyse, design, and manage projects aimed at solving complex issues in economics and related areas.

The BSc (Economics, Statistics / Honours / Honours with Research) programme is spread over eight semesters, covering core subjects in economics, statistics, and quantitative methods in the initial semesters, with specialized courses introduced from the third semester onwards. The course is designed to provide students with a strong foundation in economic theory, statistical analysis, and data science, along with research methodologies to prepare them for both industry and academic careers.

The Honours and Honours with Research tracks offer an advanced learning experience, with a focus on research projects and in-depth study of specialized areas such as econometrics, statistical modeling, and data analysis. Students also have the opportunity to select electives in their areas of interest, which may include Development Economics, Financial Economics, Econometrics, Time Series Analysis, and Machine Learning.

The programme is enriched with various practical activities, including:

• Internships: Students undertake industry-relevant internships to gain hands-on experience in economics, data analysis, and statistical research.

• Research Projects: Honours and Research students are required to complete a major research project, culminating in a thesis or publication in a peer-reviewed journal.

• Certifications: Students can pursue additional certifications in specialized domains such as Data Science, Statistical Analysis, Econometrics, and Programming.

• Guest Lectures: Industry experts and academics deliver guest lectures throughout the course, providing students with insights into real-world applications of economics and statistics.

• Workshops & Seminars: Regular workshops on statistical software (like R, Python, SPSS) and research methodologies, as well as seminars on current economic trends and challenges, ensure that students remain updated with industry developments.

The programme is designed to develop students' quantitative and analytical skills, enabling them to solve real-world economic and statistical problems. It prepares graduates for a wide range of career opportunities in economic research, data analysis, policy analysis, and statistical consulting, with the option to pursue higher studies in economics or related fields.

• Develop Critical Thinking and Problem-Solving Skills
  Equip students with the ability to analyze complex economic issues and data, identify patterns, and devise practical solutions using statistical tools and economic theories.

• Enhance Data Literacy and Analytical Skills
  Foster proficiency in handling, analyzing, and interpreting large datasets, enabling students to make data-driven decisions in sectors such as finance, policy, and business.

• Cultivate Strong Communication and Collaboration
  Strengthen students’ ability to effectively communicate economic insights, statistical findings, and data interpretations, while working independently and in multidisciplinary teams.

• Advance Digital Proficiency
  Ensure students are skilled in using modern statistical software and digital tools for data analysis, economic modeling, and research, keeping pace with evolving technological advancements.

Promote Ethical and Responsible Decision-Making
Instill awareness of ethical standards in data management, economic research, and professional conduct, encouraging responsible and socially-aware practices.

• PO1. Understand and apply fundamental principles, concepts and methods in critical areas of science and multidisciplinary fields.

• PO2. Demonstrate problem-solving, analytical and logical skills to provide solutions for scientific requirements.

• PO3. Develop critical thinking with a scientific temper.

• PO4. Communicate the subject effectively.

• PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.

• PO6. Understand professional, ethical, and social responsibilities.

• PO7. Enhance research culture and uphold scientific integrity and objectivity.

• PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.

• PSO1. Analytical Thinking : Develop the ability to understand and apply abstract and quantitative concepts in Economics and Statistics, leading to theories and models that explain economic phenomena.

• PSO2. Problem Analysis and Solution Design: Identify, analyse, and design solutions for real-world economic issues using fundamental principles of Economics, Statistics, and related domain disciplines.

• PSO3. Proficiency in Statistical Tools : Acquire the skills to use statistical software and tools for data analysis, economic forecasting, and interpretation of economic trends across various sectors.

• PSO4. Professional Ethics and Social Responsibility : Understand and adhere to ethical standards, including data integrity, privacy regulations, and norms of professional practices in economic and statistical research.

• PSO5. Research and Data Analysis : Utilise research-based methods, including data collection, statistical analysis, and interpretation, to draw valid conclusions about economic trends and behaviours.

• PSO6. Effective Teamwork and Collaboration: Function efficiently as an individual and as a team member or leader in diverse teams and multidisciplinary environments, particularly in economic research and data analysis projects.

• PSO7. Application Across Multidisciplinary Domains: Understand the role of statistical approaches and economic theories, applying them to solve real-life problems in fields like finance, policy-making, business, and development.

• PSO8. Project Management in Economic Research : Apply statistical and economic knowledge to analyse, design, and manage projects aimed at solving complex issues in economics and related areas.

The BSc (Economics, Statistics / Honours / Honours with Research) programme is spread over eight semesters, covering core subjects in economics, statistics, and quantitative methods in the initial semesters, with specialized courses introduced from the third semester onwards. The course is designed to provide students with a strong foundation in economic theory, statistical analysis, and data science, along with research methodologies to prepare them for both industry and academic careers.

The Honours and Honours with Research tracks offer an advanced learning experience, with a focus on research projects and in-depth study of specialized areas such as econometrics, statistical modeling, and data analysis. Students also have the opportunity to select electives in their areas of interest, which may include Development Economics, Financial Economics, Econometrics, Time Series Analysis, and Machine Learning.

The programme is enriched with various practical activities, including:

• Internships: Students undertake industry-relevant internships to gain hands-on experience in economics, data analysis, and statistical research.

• Research Projects: Honours and Research students are required to complete a major research project, culminating in a thesis or publication in a peer-reviewed journal.

• Certifications: Students can pursue additional certifications in specialized domains such as Data Science, Statistical Analysis, Econometrics, and Programming.

• Guest Lectures: Industry experts and academics deliver guest lectures throughout the course, providing students with insights into real-world applications of economics and statistics.

• Workshops & Seminars: Regular workshops on statistical software (like R, Python, SPSS) and research methodologies, as well as seminars on current economic trends and challenges, ensure that students remain updated with industry developments.

The programme is designed to develop students' quantitative and analytical skills, enabling them to solve real-world economic and statistical problems. It prepares graduates for a wide range of career opportunities in economic research, data analysis, policy analysis, and statistical consulting, with the option to pursue higher studies in economics or related fields.

• Develop Critical Thinking and Problem-Solving Skills
  Equip students with the ability to analyze complex economic issues and data, identify patterns, and devise practical solutions using statistical tools and economic theories.

• Enhance Data Literacy and Analytical Skills
  Foster proficiency in handling, analyzing, and interpreting large datasets, enabling students to make data-driven decisions in sectors such as finance, policy, and business.

• Cultivate Strong Communication and Collaboration
  Strengthen students’ ability to effectively communicate economic insights, statistical findings, and data interpretations, while working independently and in multidisciplinary teams.

• Advance Digital Proficiency
  Ensure students are skilled in using modern statistical software and digital tools for data analysis, economic modeling, and research, keeping pace with evolving technological advancements.

Promote Ethical and Responsible Decision-Making
Instill awareness of ethical standards in data management, economic research, and professional conduct, encouraging responsible and socially-aware practices.

• PO1. Understand and apply fundamental principles, concepts and methods in critical areas of science and multidisciplinary fields.

• PO2. Demonstrate problem-solving, analytical and logical skills to provide solutions for scientific requirements.

• PO3. Develop critical thinking with a scientific temper.

• PO4. Communicate the subject effectively.

• PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.

• PO6. Understand professional, ethical, and social responsibilities.

• PO7. Enhance research culture and uphold scientific integrity and objectivity.

• PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.

• PSO1. Analytical Thinking : Develop the ability to understand and apply abstract and quantitative concepts in Economics and Statistics, leading to theories and models that explain economic phenomena.

• PSO2. Problem Analysis and Solution Design: Identify, analyse, and design solutions for real-world economic issues using fundamental principles of Economics, Statistics, and related domain disciplines.

• PSO3. Proficiency in Statistical Tools : Acquire the skills to use statistical software and tools for data analysis, economic forecasting, and interpretation of economic trends across various sectors.

• PSO4. Professional Ethics and Social Responsibility : Understand and adhere to ethical standards, including data integrity, privacy regulations, and norms of professional practices in economic and statistical research.

• PSO5. Research and Data Analysis : Utilise research-based methods, including data collection, statistical analysis, and interpretation, to draw valid conclusions about economic trends and behaviours.

• PSO6. Effective Teamwork and Collaboration: Function efficiently as an individual and as a team member or leader in diverse teams and multidisciplinary environments, particularly in economic research and data analysis projects.

• PSO7. Application Across Multidisciplinary Domains: Understand the role of statistical approaches and economic theories, applying them to solve real-life problems in fields like finance, policy-making, business, and development.

• PSO8. Project Management in Economic Research : Apply statistical and economic knowledge to analyse, design, and manage projects aimed at solving complex issues in economics and related areas.

The BSc (Economics, Statistics / Honours / Honours with Research) programme is spread over eight semesters, covering core subjects in economics, statistics, and quantitative methods in the initial semesters, with specialized courses introduced from the third semester onwards. The course is designed to provide students with a strong foundation in economic theory, statistical analysis, and data science, along with research methodologies to prepare them for both industry and academic careers.

The Honours and Honours with Research tracks offer an advanced learning experience, with a focus on research projects and in-depth study of specialized areas such as econometrics, statistical modeling, and data analysis. Students also have the opportunity to select electives in their areas of interest, which may include Development Economics, Financial Economics, Econometrics, Time Series Analysis, and Machine Learning.

The programme is enriched with various practical activities, including:

• Internships: Students undertake industry-relevant internships to gain hands-on experience in economics, data analysis, and statistical research.

• Research Projects: Honours and Research students are required to complete a major research project, culminating in a thesis or publication in a peer-reviewed journal.

• Certifications: Students can pursue additional certifications in specialized domains such as Data Science, Statistical Analysis, Econometrics, and Programming.

• Guest Lectures: Industry experts and academics deliver guest lectures throughout the course, providing students with insights into real-world applications of economics and statistics.

• Workshops & Seminars: Regular workshops on statistical software (like R, Python, SPSS) and research methodologies, as well as seminars on current economic trends and challenges, ensure that students remain updated with industry developments.

The programme is designed to develop students' quantitative and analytical skills, enabling them to solve real-world economic and statistical problems. It prepares graduates for a wide range of career opportunities in economic research, data analysis, policy analysis, and statistical consulting, with the option to pursue higher studies in economics or related fields.

• Develop Critical Thinking and Problem-Solving Skills
  Equip students with the ability to analyze complex economic issues and data, identify patterns, and devise practical solutions using statistical tools and economic theories.

• Enhance Data Literacy and Analytical Skills
  Foster proficiency in handling, analyzing, and interpreting large datasets, enabling students to make data-driven decisions in sectors such as finance, policy, and business.

• Cultivate Strong Communication and Collaboration
  Strengthen students’ ability to effectively communicate economic insights, statistical findings, and data interpretations, while working independently and in multidisciplinary teams.

• Advance Digital Proficiency
  Ensure students are skilled in using modern statistical software and digital tools for data analysis, economic modeling, and research, keeping pace with evolving technological advancements.

Promote Ethical and Responsible Decision-Making
Instill awareness of ethical standards in data management, economic research, and professional conduct, encouraging responsible and socially-aware practices.

• PO1. Understand and apply fundamental principles, concepts and methods in critical areas of science and multidisciplinary fields.

• PO2. Demonstrate problem-solving, analytical and logical skills to provide solutions for scientific requirements.

• PO3. Develop critical thinking with a scientific temper.

• PO4. Communicate the subject effectively.

• PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.

• PO6. Understand professional, ethical, and social responsibilities.

• PO7. Enhance research culture and uphold scientific integrity and objectivity.

• PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.

• PSO1. Analytical Thinking : Develop the ability to understand and apply abstract and quantitative concepts in Economics and Statistics, leading to theories and models that explain economic phenomena.

• PSO2. Problem Analysis and Solution Design: Identify, analyse, and design solutions for real-world economic issues using fundamental principles of Economics, Statistics, and related domain disciplines.

• PSO3. Proficiency in Statistical Tools : Acquire the skills to use statistical software and tools for data analysis, economic forecasting, and interpretation of economic trends across various sectors.

• PSO4. Professional Ethics and Social Responsibility : Understand and adhere to ethical standards, including data integrity, privacy regulations, and norms of professional practices in economic and statistical research.

• PSO5. Research and Data Analysis : Utilise research-based methods, including data collection, statistical analysis, and interpretation, to draw valid conclusions about economic trends and behaviours.

• PSO6. Effective Teamwork and Collaboration: Function efficiently as an individual and as a team member or leader in diverse teams and multidisciplinary environments, particularly in economic research and data analysis projects.

• PSO7. Application Across Multidisciplinary Domains: Understand the role of statistical approaches and economic theories, applying them to solve real-life problems in fields like finance, policy-making, business, and development.

• PSO8. Project Management in Economic Research : Apply statistical and economic knowledge to analyse, design, and manage projects aimed at solving complex issues in economics and related areas.

The BSc (Economics, Statistics / Honours / Honours with Research) programme is spread over eight semesters, covering core subjects in economics, statistics, and quantitative methods in the initial semesters, with specialized courses introduced from the third semester onwards. The course is designed to provide students with a strong foundation in economic theory, statistical analysis, and data science, along with research methodologies to prepare them for both industry and academic careers.

The Honours and Honours with Research tracks offer an advanced learning experience, with a focus on research projects and in-depth study of specialized areas such as econometrics, statistical modeling, and data analysis. Students also have the opportunity to select electives in their areas of interest, which may include Development Economics, Financial Economics, Econometrics, Time Series Analysis, and Machine Learning.

The programme is enriched with various practical activities, including:

• Internships: Students undertake industry-relevant internships to gain hands-on experience in economics, data analysis, and statistical research.

• Research Projects: Honours and Research students are required to complete a major research project, culminating in a thesis or publication in a peer-reviewed journal.

• Certifications: Students can pursue additional certifications in specialized domains such as Data Science, Statistical Analysis, Econometrics, and Programming.

• Guest Lectures: Industry experts and academics deliver guest lectures throughout the course, providing students with insights into real-world applications of economics and statistics.

• Workshops & Seminars: Regular workshops on statistical software (like R, Python, SPSS) and research methodologies, as well as seminars on current economic trends and challenges, ensure that students remain updated with industry developments.

The programme is designed to develop students' quantitative and analytical skills, enabling them to solve real-world economic and statistical problems. It prepares graduates for a wide range of career opportunities in economic research, data analysis, policy analysis, and statistical consulting, with the option to pursue higher studies in economics or related fields.