MA981-7-FY-CO:
Dissertation

The details
2024/25
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Full Year
Postgraduate: Level 7
Current
Thursday 03 October 2024
Friday 27 June 2025
60
14 June 2024

 

Requisites for this module
(none)
(none)
(none)
(none)

 

(none)

Key module for

MSC G10112 Mathematics,
MSC G10124 Mathematics,
MSC GN1312 Mathematics and Finance,
MSC GN1324 Mathematics and Finance,
MSC G30412 Data Science,
MSC G30424 Data Science,
MSC G304PP Data Science with Professional Placement,
MSC G20312 Optimisation and Data Analytics,
MSC G30012 Statistics,
MSC N32312 Actuarial Science,
MSC N32324 Actuarial Science,
MSC G30512 Applied Data Science,
MSC G30524 Applied Data Science,
MSC G30612 Data Science and its Applications,
MSC G30624 Data Science and its Applications,
MPHDG20048 Operational Research,
PHD G20048 Operational Research,
MPHDN32348 Actuarial Science,
PHD N32348 Actuarial Science,
MPHDG30448 Data Science,
PHD G30448 Data Science

Module description

Students will be allocated an individual supervisor with whom they agree a dissertation topic.

Module aims

The aim of this module is:



  • To write a dissertation based on an independently developed research project, under the supervision of an allocated supervisor.

Module learning outcomes

By the end of this module, students will be expected to be able to:



  1. Research the background and literature relating to an area of Mathematics, Statistics, Data Science or Actuarial Science.

  2. Apply existing theories methods/models to a question/data set and provide a clear explanation of why and how these theories/methods/models are applied.

  3. Produce a dissertation about their chosen topic/question which is word processed.

  4. Use their knowledge, understanding and skills in defending their ideas in an interview and presentation.

Module information

No additional information available.

Learning and teaching methods

No information available.

Bibliography*

This module does not appear to have a published bibliography for this year.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Coursework   MSc Dissertation    100% 

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

100 per cent Coursework Mark

Reassessment

100 per cent Coursework Mark

Module supervisor and teaching staff
Dr Vasileios Giagos, email: v.giagos@essex.ac.uk.
Various
maths@essex.ac.uk

 

Availability
No
No
No

External examiner

Dr Yinghui Wei
University of Plymouth
Resources
Available via Moodle
Of 1 hours, 0 (0%) hours available to students:
1 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information

* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.

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