Mathematics Careers and Employability

The details
Mathematical Sciences
Colchester Campus
Full Year
Undergraduate: Level 5
Thursday 03 October 2019
Friday 26 June 2020
01 October 2019


Requisites for this module



Key module for

BSC N233 Actuarial Science (Including Placement Year),
BSC N323 Actuarial Science,
BSC N324 Actuarial Science (Including Year Abroad),
BSC N325 Actuarial Science (Including Foundation Year),
BSC L1G2 Economics and Mathematics (Including Placement Year),
BSC LG11 Economics and Mathematics,
BSC LG18 Economics and Mathematics (Including Foundation Year),
BSC LG1C Economics and Mathematics (Including Year Abroad),
BSC GN13 Finance and Mathematics,
BSC GN15 Finance and Mathematics (Including Placement Year),
BSC GN18 Finance and Mathematics (Including Foundation Year),
BSC GN1H Finance and Mathematics (Including Year Abroad),
BSC G100 Mathematics,
BSC G102 Mathematics (Including Year Abroad),
BSC G103 Mathematics (Including Placement Year),
BSC G104 Mathematics (Including Foundation Year),
BSC 5B43 Statistics (Including Year Abroad),
BSC 9K12 Statistics,
BSC 9K13 Statistics (Including Placement Year),
BSC 9K18 Statistics (Including Foundation Year),
BSC G1G4 Mathematics with Computing (Including Year Abroad),
BSC G1G8 Mathematics with Computing (Including Foundation Year),
BSC G1GK Mathematics with Computing,
BSC G1IK Mathematics with Computing (Including Placement Year),
BSC G1F3 Mathematics with Physics,
BSC G1F4 Mathematics with Physics (Including Placement Year),
BSC GCF3 Mathematics with Physics (Including Year Abroad),
BSC I1G3 Data Science and Analytics,
BSC I1GB Data Science and Analytics (Including Placement Year),
BSC I1GC Data Science and Analytics (Including Year Abroad),
BSC I1GF Data Science and Analytics (Including Foundation Year)

Module description

Students will develop their transferable skills and experiences to create a personal portfolio that can be used to reflect and plan their ongoing personal development throughout their University life. Students will work closely with their personal advisors within the department to develop their individual portfolio. The portfolio consists of four key elements: personal and career planning, key skills development, work and voluntary experience, and understanding of the world of work.

Module aims

The aim of this module is to provide an opportunity for all Mathematics students (single & joint honours) to develop the skills and knowledge required to succeed both during and after their time at University.

Module learning outcomes

To pass this module students will be expected to:

- Understand the key differences between school/college and University, and how to make a success of the University and their chosen course.
- Determine and reflect upon their individual future objectives, and the role their course and University experience will play in achieving these objectives.
- Plan, manage and record their ongoing personal development and reflect upon individual progress.
- Understand and reflect on how others achieved their career goals.

- Critically evaluate their existing key transferable skills and experiences, identify gaps in their skills-set or experience and plan how to improve these skills.
- Actively undertake activities to develop skills that are identified as needing development.
- Record their ongoing skills development and reflect upon progress and achievements.

- Understand and reflect on the role that volunteering can play in enhancing employability and developing transferable skills.
- Identify and reflect upon existing work experience and demonstrate an understanding of how this enhances employability.

World of work
- Prepare a CV.
- Demonstrate an awareness and understanding of the careers options available to Mathematics students and what is required to succeed in these careers.
- Demonstrate awareness of the stages involved in a job application, including assessment centres and interviews.
- Understand and utilise the resources available within the University to help with career planning.

Module information

No additional information available.

Learning and teaching methods

Students will be expected to undertake independent learning and planning to develop their own portfolio based on the individual skills and experiences they have gained prior to and during their time at University. Each student is assigned one member of academic staff from the Department of Mathematical Sciences as their personal advisor and advisors will work closely with students to provide regular personalised feedback on the progress of portfolios. In addition, regular timetabled careers and employability seminars will be run within the department and students will be expected to attend these to gain experience and knowledge to help complete their portfolio. In addition, a number of centralised University resources, such as Careers Centre workshops or Student Union events and societies, can be used by students to help develop their portfolio. There will also be a Key Skills Day which forms part of the portfolio assessment.


This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework Reflection on Goals & Planning 23/10/2019
Coursework Maths Careers Options 27/11/2019
Coursework Writing a CV and online Profile 29/01/2020
Coursework Numeracy and Literacy tests 26/02/2020
Coursework Maths Careers Seminars 04/03/2020

Overall assessment

Module is either passed or marked as not completed.


Module is either passed or marked as not completed.

Module supervisor and teaching staff
Professor Christopher Saker (



External examiner

No external examiner information available for this module.
Available via Moodle
Of 16 hours, 12 (75%) hours available to students:
4 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).


Further information
Mathematical Sciences

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