The first programme, BA Economics Honours Degree Course, intends to provide the students with a comprehensive knowledge of and application of economic theories in real-world situations by acquiring a thorough grounding in the concepts and measurement methods of economic problems and phenomena. The students will be exposed to quantitative and qualitative data by using statistical software to get a better understanding of the underlying patterns, and trends as well as build economic models, simulations, and forecasting so that skills that are relevant and useful in the various avenues in the modern job market are acquired.
The second programme is the M.A. Economics, which follows the semester pattern and offers specialized electives in Advanced Econometrics and Agricultural Economics. This programme is tailored for those seeking a deeper understanding of Economic theories and applications, with a focus on advanced statistical methods and the dynamics of Agricultural Economics. It provides students with an opportunity to delve into specialized areas of Economic research and hone their analytical skills to tackle complex real-world challenges.
The courses offered by the department are designed to nurture critical thinking, foster research aptitude, and develop a comprehensive understanding of economic concepts and applications among the students. The Department of Economics takes great pride in offering these programmes, which are a testament to its unwavering commitment to providing cutting-edge education and preparing students for success in the ever-evolving field of Economics.
Economics is one of the most dynamic and important fields of study that touches almost every aspect of our lives. Apart from influencing the articulation and molding of government policies, it gives us precious knowledge about the economic base of the evolution and functioning of societies and the global economy. The BA Economics Honours Degree Course intends to provide the students with a comprehensive knowledge of and application of economic theories in real-world situations by acquiring a thorough grounding in the concepts and measurement methods of economic problems and phenomena. The students will be exposed to quantitative and qualitative data by using statistical software to get a better understanding of the underlying patterns, and trends as well as build economic models, simulations, and forecasting so that skills that are relevant and useful in the various avenues in the modern job market are acquired. They also gain expertise in reporting, writing, and interpreting academic findings for the use of policymakers and development practitioners. The students will be trained to obtain rigorous domain knowledge in Economics, Mathematical and Statistical analysis and also attain a strong foundation in Finance, and data analysis, exposure to Artificial Intelligence, Data Science, and programming skills, using R, and Python. The course also uses a multidisciplinary approach to develop critical faculty to analyze data, policy, and value addition for a better social life and find solutions for complex economic issues.
Bridge the gap between academia and the real world, fostering lifelong learning and meaningful contributions. They denote the skills, competencies, and high-level qualities students should acquire during their university education. Apart from gathering content knowledge, these attributes go beyond the assimilation of information to its application in various contexts throughout a graduate’s life. It aims to teach the art of critical thinking, problem-solving, professionalism, leadership readiness, teamwork, communication skills, and intellectual breadth of knowledge. The University of Kerala envisages guiding the student’s journey to shape these attributes uniquely, making them integral to personal growth and success in various spheres of life. The University strives to ensure that these graduate attributes are not just checkboxes, but play a pivotal role in shaping the students into capable, compassionate, and responsible individuals with a high degree of social responsibility.
| No. | Program Outcomes (POs) |
| PO-1 | Critical thinking
|
| PO-2 | Complex problem-solving
|
| PO-3 | Creativity
|
| PO-4 | Communication skills
|
| PO-5 | Leadership qualities
|
| PO-6 | Learning ‘how to learn’ skills acquire new knowledge and skills, including ‘learning how to learn skills, that are necessary for pursuing learning activities throughout life, through self-paced and self-directed learning. work independently, and identify appropriate resources required for further learning. acquire organizational skills and time management to set self-defined goals and targets with timelines. inculcate a healthy attitude to be a lifelong learner. |
| PO-7 | Digital and technological skills
|
| PO-8 | Value inculcation
|
| No. | Upon completion of the Programme, the graduate will be able to |
| PSO-1 | Examine theoretical, conceptual, and methodological aspects of Economics. |
| PSO-2 | Address diverse development issues and propose solutions. |
| PSO-3 | Develop cognitive, analytical, and research skills focusing on learning digital technologies and software adaptability. |
| PSO-4 | Interact with institutions, and markets while integrating sustainable development principles. |
| PSO-5 | Enhance leadership and communication skills through managerial capacity building. |
| PSO-6 | Promote creativity, value, and ethical behavior in life. |
| PROGRAMME STRUCTURE |
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| Semester | Course Code | Course name | Type | Level | Credit | Hours per Week | Page | |
| Discipline Specific Core | ||||||||
| 1 |
UK1DSCECO100 | Principles of Economics | DSC | 100-199 | 4 | 4 | 14 | |
| Multi-Disciplinary Course | ||||||||
| 1 |
UK1MDCECO100 | Economics for Everyone | MDC | 100-199 | 3 | 3 | 42 | |
| Discipline Specific Core | ||||||||
| 2 | UK2DSCECO100 | Tools for Economic Analysis |
DSC | 100-199 | 4 | 4 | 51 | |
| Multi-Disciplinary Course | ||||||||
| 2 | UK2MDCECO100 | Global Economic Issues | MDC | 100-199 | 3 | 3 | 79 | |
| Discipline Specific Core | ||||||||
| 3 | UK3DSCECO200 | Microeconomics-1 | DSC | 200-299 | 4 | 4 | 89 | |
| Discipline-Specific Elective | ||||||||
| UK3DSEECO201 | Economics of Insurance | DSE | 200-299 | 4 | 4 | 117 | ||
| Discipline Specific Core | ||||||||
| 4 | UK4DSCECO200 | Macroeconomics - 1 |
DSC | 200-299 | 4 | 4 | 127 | |
| UK4DSCECO201 | Mathematics for Economics-I | DSC | 200-299 | 4 | 4 | 131 | ||
| Discipline-Specific Elective | ||||||||
| UK4DSEECO201 | Foundations of Data Science | DSE | 200-299 | 4 | 4 | 153 | ||
| 4 | Summer Internship (Mandatory) | |||||||
| Discipline Specific Core | ||||||||
| 5 |
UK5DSCECO300 | Indian Economy | DSC | 300-399 | 4 | 4 | 175 | |
| UK5DSCECO301 | International Economics -1 |
DSC | 300-399 | 4 | 4 | 181 | ||
| UK5DSCECO302 | Statistical Methods for Economics | DSC | 300-399 | 4 | 4 | 185 | ||
| Discipline-Specific Elective | ||||||||
| 5 | UK5DSEECO300 | Research Methodology in Economics |
DSE | 300-399 | 4 | 4 | 206 | |
| UK5DSEECO302 | Artificial Intelligence and Machine Learning in Economics |
DSE | 300-399 | 4 | 4 | 217 | ||
| Discipline Specific Core | ||||||||
| 6 |
UK6DSCECO300 | Econometrics -I | DSC | 300-399 | 4 | 4 | 230 | |
| UK6DSCECO301 | Development Economics | DSC | 300-399 | 4 | 4 | 235 | ||
| UK6DSCECO302 | International Economics -II |
DSC | 300-399 | 4 | 4 | 240 | ||
| Discipline-Specific Elective | ||||||||
| 6 |
UK6DSEECO300 | Kerala Economy | DSE | 300-399 | 4 | 4 | 259 | |
| UK6DSEECO301 | Financial Econometrics | DSE | 300-399 | 4 | 4 | 265 | ||
| Skill Enhancement Course | ||||||||
| UK6SECECO301 | Data Analysis in Spreadsheet and R | SEC | 300-399 | 3 | 3 | 280 | ||
| Discipline Specific Core | ||||||||
| 7 |
UK7DSCECO400 | Microeconomics-II | DSC | 400-499 | 4 | 4 | 285 | |
| UK7DSCECO401 | Macroeconomics- II |
DSC | 400-499 | 4 | 4 | 291 | ||
| Discipline-Specific Elective | ||||||||
| 7 |
UK7DSEECO400 | Open-Economy Macroeconomics |
DSE | 400-499 | 4 | 4 | 311 | |
| Mandatory for Honours with Research | ||||||||
| 8 | UK8RPHECO400 | Research Project | DSC | 400-499 | 12 | - | ||
| Mandatory for UG Honours | ||||||||
| 8 | UK8CIPECO400 | Internship Project | DSC | 400-499 | 12 | - | ||
A study tour should be conducted during the third year, and the report can be submitted at the end of the sixth semester. Students are directed to visit a research institute / Industry and a study tour report must be submitted by each student.