Study with Dan Ciubotaru from University of Oxford
Math and Statistics Research and Its Application

Professor Dan Ciubotaru

Professor Introduction
University of Oxford

Programme Dates

July–September 2026

Programme Duration

10 Weeks

Age Range

Prep, Grades 9, 10, 11

Application Deadline

15 May 2026

Programme Fee

980 GBP

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40

Advanced Research & Lectures
Hours

10

Neuroeconomics & Decision Science Topics Covered

95%

Previous Students Satisfaction Rate

100%

Supervision by Oxford/Cambridge professors and tutors

Program Description

This project will provide an introduction to a world-class probability theory and statistics program, include the basic concepts of probability distribution, expectations, independence, conditional expectations, Markov chains, maximum likelihood estimation, confidence intervals and hypothesis testing. At the end of this project, students will submit their research report and show their results.

Suggested Future Research Fields:

Solving and studying the autocorrelation problem in linear regression modeling

Linear regression (housing price prediction model)

Processing and analysis of deformation monitoring data based on unary linear regression

Who can join the programme?

  • High school students
  • University student
  • Students interested in mathematics, statistics, data science, computer science, economics, psychology, or related fields

The programme can certainly provide excellent preparation for the IB Extended Essay (EE). It helps students understand the research process, develop research questions, and practice academic writing. If students follow our instructor-led programme and produce strong work, the outcome will be a high-quality paper that can be used as preparation for the IB Extended Essay.

Online Group Research Learning & Thesis Guidance

Programme Learning Report

Certificate of Completion

Recommendation Letter Signed by Professor

Published Research Paper Option

Syllabus

Discrete random variables: counting probabilities, expectation, examples

Continuous random variables: cumulative probability, distribution functions, examples

Conditional probability: Bayes' Rule, independence, examples

Variance: Chebyshev's Theorem, concentration of measure, examples

Weak law of large numbers, central limit theorem, examples

Important distributions, examples

Hypothesis testing, examples

Review and presentations

Programme Schedule

Date Time
Lesson 1 25 July 2026 10am - 12pm London time
Lesson 2 01 August 2026 10am - 12pm London time
Lesson 3 08 August 2026 10am - 12pm London time
Lesson 4 15 August 2026 10am - 12pm London time
Lesson 5 22 August 2026 10am - 12pm London time
Lesson 6 29 August 2026 10am - 12pm London time
Lesson 7 05 September 2026 10am - 12pm London time
Lesson 8 12 September 2026 10am - 12pm London time
Lesson 9 19 September 2026 10am - 12pm London time
Lesson 10 26 September 2026 10am - 12pm London time

Published Research Paper Option

Once students have completed the final draft of their papers, they may choose to submit their work to international academic journals indexed by CPCI or EI. We provide guidance and support throughout the submission process for these indexed publications.

The publication fee is £690 per research article, as determined by the journal. Once an article is accepted, it typically becomes searchable on Google and on the journal’s platform approximately seven months after the publication offer is made.