| Program start date | Application deadline |
| 2024-09-01 | - |
Program Overview
The Econometrics PG Cert from Birkbeck, University of London, provides advanced training in econometric theory and applications. The program prepares graduates for careers in fields requiring advanced econometric analysis, such as economics, finance, and policy research.
Program Outline
Degree Overview:
Title:
Econometrics
Level:
Postgraduate Certificate (PG Cert)
Duration:
1 Year
Mode of Study:
Part-time, On Campus
Starting Dates:
September 2024
Awarding Body:
University of London
Overview:
The Econometrics PG Cert provides advanced training in econometric theory and applications. Participants, who typically come from diverse backgrounds, learn how to:
- Collect and process economic data
- Transform economic theory into applicable models
- Utilize modern econometrics packages
- Apply a wide range of estimation techniques
- Interpret and evaluate results
- Present analysis and conclusions in written reports
Objectives:
- Equip graduates with the necessary skills to conduct independent research in econometrics.
- Prepare graduates for careers in fields requiring advanced econometric analysis.
- Offer high-quality training by drawing upon the expertise of Birkbeck's renowned department.
Key Elements:
- Intensive classroom instruction during evenings.
- Emphasis on practical applications and software usage.
- Focus on rigorous statistical analysis and interpretation.
- Preparation for further studies or entrance into relevant workplaces.
Target Audience:
Individuals seeking to:
- Enhance their existing skills in econometrics.
- Equip themselves for roles requiring quantitative analysis.
- Pursue further postgraduate studies in economics or finance.
- Transition from non-quantitative fields into related economic professions.
Key Highlight:
Birkbeck's Department of Economics, Mathematics & Statistics has achieved top 25 ranking in the UK for its research prowess in Econometrics and Finance (source: 2021 Research Excellence Framework).
Outline:
Content:
- Econometrics and its fundamental principles
- Advanced statistical modeling in economics and finance
- Time series analysis and forecasting methods
- Panel data analysis and cross-sectional regressions
- Large-sample asymptotic theory
- Bootstrapping and non-parametric inference
- Modern computational methods in econometrics
Structure:
- Two modules in core econometrics (30 and 15 credits)
- One option module from a broad selection within MSc Economics and Finance (15 credits)
- Total credits required for completion: 60
Course Schedule:
Classes typically take place during evenings, two nights a week, from September to August. Specific timetables are released in September for individual modules.
Module Descriptions:
- Core Modules:
- Econometrics (30 credits): Explores the principles of econometrics, including theoretical foundations, estimation methods, hypothesis testing, and model specification.
- Quantitative Techniques for Postgraduate Certificate (15 credits): Equips participants with the necessary foundation in mathematical and statistical knowledge required for tackling core and optional program modules.
- Optional Modules:
- Advanced Econometrics (15 credits): Focuses on advanced topics such as panel data analysis, instrumental variable estimation, and dynamic models.
- Time Series Econometrics (15 credits): Offers an in-depth exploration of time series analysis, modeling, and forecasting techniques.
- The Economics and Econometrics of Evidence-Based Policy (15 credits): Analyzes how theoretical frameworks, empirical insights, and data analysis can inform policy implementation and decision-making.
Assessment:
Methodology:
- Examinations held in January and June
- Empirical project demonstrating analytical skills and application of econometric methods
Criteria:
- Depth of understanding of theoretical concepts
- Ability to construct and analyze theoretical models
- Competence in applying econometric techniques to real-world data
- Clarity and coherence in written communication
- Presentation and interpretation of results
Teaching:
Methods:
- Interactive lecturing sessions led by experienced faculty
- Problem sets and exercises related to lecture topics
- Collaborative teamwork during empirical project development
Faculty:
Highly skilled and research-active staff from the Department of Economics, Mathematics & Statistics bring extensive expertise to the program. All instructors possess a strong commitment to student learning and fostering a supportive classroom environment.
Technology:
Modern technologies are integrated to enhance teaching and learning, including virtual learning platforms and presentation tools.
Careers:
Potential Paths:
- Economist in government or private institutions
- Financial risk analyst in banking or investment firms
- Civil Service fast-streamer with strong analytical skills
- Actuary applying statistical skills to risk management
- Local government officer utilizing quantitative insights for policy research
Outcomes:
- Graduates successfully occupy positions across public and private sectors, demonstrating the program's effectiveness in preparing them for diverse career opportunities.
- International students are welcome, and support with visa regulations and scholarship opportunities are available.
- Individuals with prior quantitative education might qualify for credit transfers towards the program.
- The program is well-suited for working professionals seeking to advance their careers or change direction professionally.
Part-time home students: £5,420 per year Part-time international students: £8,000 per year
