Mathematics Careers and Employability
Postgraduate: Level 7
Thursday 03 October 2019
Friday 26 June 2020
01 October 2019
Requisites for this module
DIP G10109 Mathematics,
MSC G10112 Mathematics,
MSC G10124 Mathematics,
DIP GN1309 Mathematics and Finance,
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,
DIP G20109 Statistics and Operational Research,
MSC G20312 Statistics and Operational Research,
DIP G30009 Statistics,
MSC G30012 Statistics,
DIP N32309 Actuarial Science,
MSC N32312 Actuarial Science
The module will provide an opportunity to all PG Maths students to develop the skills and knowledge required to succeed both during and after their time at University. It will help prepare them fully to engage in the wider society and to make significant contributions in whatever area of life and work they choose to do so. 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 and later. Students will work closely with their personal advisors within the department to develop their individual portfolio. The portfolio consists of four theme areas: self-awareness, opportunity awareness, decision learning, and transition learning.
PG Maths students will be expected to carefully consider their future objectives and how they need to plan and manage their development to achieve these objectives. The module will have an emphasis on transition learning to ensure that they will make progress with employability from the outset of their studies, understand graduate recruitment and selection processes, how to best prepare their CVs and cover letters, how to work out application forms and, will learn about interview processes and assessment centres.
The module aims to provide an opportunity to all PGT Maths students to further develop the skills and knowledge required to succeed both during and after their time at University. Students will work towards enhancing:
2. Opportunity awareness,
3. Decision learning and
4. Transition learning.
These skills will help them progress with employability from the outset of their studies. The module will help prepare the students fully to engage in the wider society and to make significant contributions in whatever area of life and work they choose to do so.
To pass this module, students will be expected to:
• Review key personal factors that inform career choice (interests, skills, values, motivations, relationships);
• Reflect on current and future academic, employability development;
• Become more professionally aware of careers directly and indirectly related to degree;
• Deepen their knowledge of the national and international graduate labour market;
• Identify skills, attitudes and competences sought by employers;
• Develop a list of suitable careers and narrowing down to a short-list;
• Identify new and build on already developed skills to help transition to a profession (transition learning);
• Fully understand the recruitment and selection of masters graduates, and how this differs by size and sector;
• Learn how to maximise chances of success, and how to research and find vacancies, including the hidden jobs market.
1. Self-awareness of interests, strengths, motivations, priorities and values that inform career choice (self-awareness)
2. Opportunity awareness in terms of knowing what work opportunities exist and what the requirements are (opportunity awareness)
3. Decision learning regarding optimal opportunities for future career (decision learning)
4. Identification of new skills and development of existing skills to help transition to a profession (transition learning)
No additional information available.
PG Maths 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 PG studies. Each student is assigned one member of academic staff (the supervisor of their MSc dissertation) from the Department of Mathematical Sciences as their personal tutor and tutors will work closely with the students to provide regular, personalised feedback on the progress of their portfolios. Moreover, regular timetabled careers and employability seminars will be run and students will be expected to attend them to gain experience and knowledge to help complete their portfolio. In addition, several centralised University resources, such as Careers Centre workshops or Student Union events and societies, can be used by students to help develop further their portfolio.
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
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 (firstname.lastname@example.org)
No external examiner information available for this module.
Available via Moodle
Of 9 hours, 7 (77.8%) hours available to students:
2 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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