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Postgraduate Diploma in Economic Statistics (Advanced)

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Overview

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Learning outcomes

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Course content

1

Econometric Theory And Methods

2

Applied Econometrics

3

Time Series Analysis

4

Financial Econometrics

5

Macroeconomic Data Analysis

6

Microeconomic Data Analysis

7

Statistical Inference For Economists

8

Economic Forecasting And Policy

9

Advanced Statistical Modeling

10

Computational Methods In Economics

11

Data Mining And Machine Learning In Economics

12

Panel Data Analysis

13

Non-Stationary Time Series

14

Advanced Macroeconometrics

15

Mathematics For Economists

16

Probability And Statistics For Economists

17

Economic Statistics And Data Analysis

18

Experimental Design And Causal Inference

19

Advanced Microeconometrics

20

International Trade And Finance Statistics

Career Path

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Key facts

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Why this course

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

Honestly, this course was a game‑changer for me. I signed up to brush up on my data‑analysis chops, and the modules on panel data and causal inference hit the spot. The practical Stata labs let me work on real‑world case studies—like the Brexit trade impact analysis—so I could see the theory in action. The reading pack was spot‑on, mixing classic texts with the latest journal articles, which kept everything fresh. The tutors were approachable and always ready to clear up doubts. All in all, I left the program confident that I can tackle complex economic datasets back at my consultancy.

MC
Michael Carter
US · Course completed

The Postgraduate Diploma in Economic Statistics (Advanced) at Stanmore School of Business exceeded my expectations. The curriculum aligned perfectly with my goal of mastering econometric modelling for policy analysis. I especially appreciated the in‑depth modules on Generalized Method of Moments, which I applied directly to a labor‑market project for my employer, improving forecast accuracy by 12%. The course materials—textbooks, scholarly articles, and the interactive R notebooks—were current and highly relevant. Throughout the semester, the faculty provided prompt, insightful feedback, making the learning experience both rigorous and supportive. I feel fully equipped to lead advanced statistical research in my organization.

AP
Ananya Patel
IN · Course completed

I’m thrilled to share how transformative this diploma was! My aim was to become proficient in time‑series forecasting for financial markets, and the course delivered exactly that. The Python‑based forecasting module taught me ARIMA, GARCH, and machine‑learning hybrids, which I immediately used to build a predictive model for stock volatility—our team’s accuracy jumped from 68% to 85% in just a month! The lecture slides were crystal‑clear, and the supplemental video tutorials made complex concepts feel accessible. The collaborative projects with peers from around the globe added rich perspectives. I’m extremely satisfied and can already see the positive impact on my career trajectory.

ZD
Zanele Dlamini
ZA · Course completed

The Advanced Economic Statistics diploma offered a thorough, detail‑oriented exploration of quantitative methods that matched my research ambitions. I focused on mastering SAS for large‑scale survey data, and the module on complex sampling designs gave me the tools to adjust for non‑response bias in a national health economics study. The course pack included up‑to‑date working papers and a well‑structured e‑library, which proved invaluable for my dissertation. Lecturers provided meticulous feedback on my assignments, helping me refine my analytical write‑ups. While the workload was intensive, the depth of knowledge gained makes it a worthwhile investment for anyone serious about statistical economics.





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May 2026