MA199-7-FY-CO:
Mathematics Careers and Employability
2020/21
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Full Year
Postgraduate: Level 7
Current
Thursday 08 October 2020
Friday 02 July 2021
0
14 July 2020
Requisites for this module
(none)
(none)
(none)
(none)
(none)
DIP G10109 Mathematics,
DIPLG10009 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 Optimisation and Data Analytics,
MSC G20312 Optimisation and Data Analytics,
DIP G30009 Statistics,
MSC G30012 Statistics,
DIP N32309 Actuarial Science,
MSC N32312 Actuarial Science,
MSC G30512 Applied Data Science,
MSC G30612 Data Science and its Applications,
MPHDG10048 Mathematics,
PHD G10048 Mathematics,
MPHDG20048 Operational Research,
PHD G20048 Operational Research,
MPHDG30448 Data Science,
PHD G30448 Data 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:
1. Self-awareness,
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.
Learning Outcomes
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.
Syllabus
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 |
Description |
Deadline |
Coursework weighting |
| Coursework |
4.1 |
|
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| Coursework |
4.2 |
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| Coursework |
4.3 |
|
|
| Coursework |
4.4 |
|
|
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
Module is either passed or marked as not completed.
Reassessment
Module is either passed or marked as not completed.
Module supervisor and teaching staff
Dr Fanlin Meng, email: fanlin.meng@essex.ac.uk.
Dr Georgios Papamikos, email: g.papamikos@essex.ac.uk.
Prof Spyridon Vrontos, email: svrontos@essex.ac.uk.
Various
Dr Fanlin Meng (fanlin.meng@essex.ac.uk), Dr Georgios Papamikos (g.papamikos@essex.ac.uk) Dr Spyridon Vrontos (svrontos@essex.ac.uk)
No
No
No
No external examiner information available for this module.
Available via Moodle
Of 344 hours, 0 (0%) hours available to students:
344 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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