Statisics Coursework

Course Requirements

Prerequisite

  • MATH 447 Real Variables (*Waived if a course at an equivalent level has been taken at another institution and a grade of B or above is achieved)

MS Equivalent Core (16 credits)

  • STAT 424 Analysis of Variance
  • STAT 425 Applied Regression and Design
  • STAT 426 Sampling and Categorical Data
  • STAT 510 Mathematical Statistics I

Theory Core Courses (12 credits)

  • STAT 511 Mathematical Statistics II
  • STAT 553 Probability and Measure I
  • STAT 575 Large Sample Theory

Select one Practicum Course: (4 credits)

  • STAT 427 Statistical Consulting
  • STAT 593 STAT Internship
  • STAT 595 Preparing Future Faculty

Select one Computational Theory and Methods Course: (4 credits)

  • STAT 428 Statistical Computing
  • STAT 525 Computational Statistics
  • STAT 530 Bioinformatics
  • STAT 542 Statistical Learning

Select one of the Stochastic Processes and Time Series Courses: (4 credits)

  • STAT 429 Time Series Analysis
  • STAT 433 Stochastic Processes
  • STAT 554 Probability and Measure II
  • STAT 555 Applied Stochastic Processes

Select at least 3 elective courses not used above, from the list of electives below. At least two courses must be at the 500-level. (12 credits)

Statistics Courses:

  • STAT 427 - Statistical Consulting
  • STAT 428 - Statistical Computing
  • STAT 429 - Time Series Analysis
  • STAT 430 - Topics in Applied Statistics
  • STAT 431 - Applied Bayesian Analysis
  • STAT 432 - Basics of Statistical Learning
  • STAT 433 - Stochastic processes (pending approval)
  • STAT 434 - Survival Analysis 1
  • STAT 440 - Data Management
  • STAT 448 - Advanced Data Analysis
  • STAT 458 - Math Modeling in Life Sciences
  • STAT 466 - Image and Neuroimage Analysis
  • STAT 525 - Computational Statistics
  • STAT 530 - Bioinformatics
  • STAT 534 - Advanced Survival Analysis
  • STAT 538 - Clinical Trials Methodology
  • STAT 542 - Statistical Learning
  • STAT 545 - Spatial Statistics
  • STAT 551/Math561 - Theory of Probability I
  • STAT 552/Math562 - Theory of Probability II
  • STAT 554 - Probability and Measure II
  • STAT 555 - Applied Stochastic Processes
  • STAT 571 - Multivariate Analysis
  • STAT 578 - Topics in Statistics (if the topic is different, it can be taken multiple times and counted as a different course)
  • STAT 587 - Hierarchical Linear Models
  • STAT 588 - Covariance Structures and Factor Models
  • STAT 593 - Internship
  • STAT 595 - Preparing Future Faculty

Approved elective courses offered by other departments (other courses subject to approval by the PhD committee)

  • CS 512 - Data Mining Principles
  • CS 543 - Computer Vision
  • CS 546 - Machine Learning in NLP
  • CS 573 - Algorithms
  • CS 583 - Approximation Algorithms
  • ECE 547 - Topics in Image Processing
  • ECE 561 - Detection and Estimation Theory
  • ECE 563 - Information Theory
  • ECE 580 - Optimization by Vector Space Methods
  • ECON 536 - Applied Econometrics
  • ECON 574 - Econometrics I
  • ECON 575 - Econometrics II
  • ECON 576 - Time Series
  • ECON 590 - Applied Macroeconometrics
  • ECON 590 - Applied Financial Econometrics
  • IE 510 - Applied Nonlinear Programming
  • IE 521 - Convex Optimization
  • IE 528 - Computing for Data Analytics
  • IE 529 - Stats of Big Data & Clustering
  • MATH 540 - Real Analysis
  • MATH 580 - Combinatorial Mathematics
  • MATH 585 - Probabilistic Combinatorics
  • MATH 588 - Optimization in Networks
  • MATH 589 - Conjugate Duality and Optimization

Thesis and Individual Study Courses (0-32 credits)

  • STAT 590 Individual Study and Research (0 to 8 credits)
  • STAT 599 Thesis Research (0 min applied toward degree)

Total Hours 64

Other Requirements

Other requirements may overlap

Masters Degree Required for Admission to PhD? No, but Masters level requirements must be met (32 additional hours min)

Qualifying Exam Required? Yes

Preliminary Exam Required? Yes

Final Exam/Dissertation Defense Required? Yes

Dissertation Deposit Required? Yes

Minimum GPA: 2.75

Course Sequences

Students admitted without deficiencies (i.e., who are not on "Limited Status") take Statistics 425 and Statistics 510 in their first semester of study, and Statistics 424, Statistics 426, and Statistics 511 in the second semester. The student will be ready to take the PhD qualifying exam after the first two semesters. The typical PhD course sequence is as follows: 

Students who have taken real analysis previously may waive Mathematics 447 with approval from the PhD program director.

International students are expected to pass the SPEAK/TSE exam on campus during their first year as PhD students (see Teaching Requirements). Because teaching is fundamental to both financial support and career development, international students who do not pass the SPEAK exam by January of the second year are subject to a reduction in financial aid.

Internally-assessed mark submission is changing for summer 2016

We've changed the way you input your coursework or controlled assessment marks – it's now online, not paper-based. From summer 2016, you'll need to submit marks through our new online system, e-Submissions (e-Subs): Centre marks submission.

The new online system makes submitting marks quicker and easier. You'll just need an e-AQA login – speak to your exams officer if you need help with this.

See our e-subs: centre marks submission page for everything you need to know, including online tutorials.

Our Customer Services team are also here to help. Call 0800 197 7162 (or +44 161 696 5995 from outside the UK) or email eos@aqa.org.uk

Teacher Online Standardisation

Our Teacher Online Standardisation (T-OLS) system allows teachers and departments to work through exemplar and standardisation material quickly and easily.

Access for all teachers

With online standardisation, all teachers can go online to see the marking advice from the Principal Moderator at a time that suits them.

Access for all schools

All schools taking AQA specifications in these subjects can participate.

Examples of work marked by the Principal Moderator

See pieces of candidate work marked by the Principal Moderator plus additional guidance. You can mark the work yourself online and see how you compare with the standard set by the Principal and read the rationale behind their mark.

Teacher Online Standardisation (T-OLS) may be accessed at e-AQA using a password obtained from your Examination Officer.

Controlled assessment tasks

Download controlled assessment tasks from Secure Key Materials on e-AQA using a password obtained from your Examination Officer.

Controlled assessment tasks will change every year. The controlled assessment task used must always relate to when marks will be submitted. The front page of the AQA controlled assessment tasks clearly shows the series in which they should be used.

Tasks are released each November to teachers via Secure Key Materials and students can complete assessments between 1 February and 7 May.

Controlled assessment advisers

We tell schools and colleges who their Controlled Assessment Adviser is in the autumn term. Controlled assessment advisers are subject experts and the best person to contact with questions about controlled assessment. If you don't know who your adviser is, please email the subject team.

For more information, see Your guide to GCSE controlled assessment and Instructions for submitting coursework/controlled assessment marks and samples

Deadlines, extensions and missing coursework

The GCSE Statistics controlled assessment deadline for the June series is 7 May.

Extension requests must reach us as early as possible to give us enough time to assist you.

If coursework is missing for any reason (loss, theft or damage), you must let us know as soon as possible via the Notification of Lost Centre Assessed Work Form 15.

Centre declaration sheets

Centre declaration sheets are for schools/colleges to:

  • authenticate students' internally-assessed work
  • confirm the internal standardisation of marking.

PDFs open in a new window.

Record forms

Academic year 2017/18

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