Supervisors Meet Students: Careers in Academia

29/02/2024

Agenda

  • 11-11:10 General Introduction - Luisa Cutillo
  • 11:10-11:20 Careers in Academia - Liam Carson, Postgraduate Diversity Lead Officer UoL
  • 11:20 - 11:40 Selected Projects by Supervisors:
    - Titarenko S.,
    - Aldridge, M.,
    - Andrew B.,
    - Griffiths S.,  
    - Gusnanto A.,
    - Sharoff S.
    - Bokhove O.
  • 11:40 - 12:00 Q&A

Allocation Process - Lists

Projects have been shared with you on Minerva.

Each student must submit a ranked preference list of 6 projects

 

  • Students submit their ranked preference list of 6 projects by the 31st of March via a MS Forms (to be shared on Minerva).

  • If you miss the deadline you will be allocated a project form the shared list with no possibility of choice.

  • Please make sure that:
    - Your top 3 ranked topics have different contact supervisors.
    - You select 6 different topics id.
    - (just MATH5872)     - You have at least 2 choices in the topics range: [45, 58].

  • We will match you with a project within your ranked choice (trying to maximize your happiness!).

  • The projects allocation will be communicated in May 2024.

Selection Forms

MATH5871:

Selection form          here

 

 

 

 

MATH5872:

Selection form          here

 

Allocation Process -

Competition Based

 

  • Competition based projects are indicated on the Lists shared on Minerva.

  • Please send an email to mscstats_dsa@leeds.ac.uk with your CV and a cover letter (up to 500 words) specifying the project you are applying for in the subject (eg. COMPETITION BASED PROJECT XX). Deadline 10th March.

  • You can only apply for one, but express preferences for other competition based in your email.

  • Promptly let me know of your Competition Based (or CDRC) outcome.

Supervision Info

  • Dissertation work starts in early June, after your last exam.
  • Contact your supervisor before June to arrange an informal meeting.
  • You and your supervisor(s) should arrange up to 6 hours of meetings (modalities to be agreed) - do this as soon as possible.
  • Consecutive meetings should not be more than 2-3 weeks apart.
  • Your supervisor will monitor your progress.
  • Students are expected to be on campus during their dissertation work.

Good Practice

  • Share a short report with your supervisor(s) ~2 days ahead of every meeting.
  • Practice on using latex with the provided template on Minerva. A very good online tool is overleaf.
  • Create a project on GitHub to share with your supervisor(s). (ABC for a Data Scientist!).
  • Learn how to use GitHub. Very good tutorials here: Atalassian and Software Carpentries.

DSA Timeline & details

 

  • There will be a poster session to assess the ongoing students work
  • The poster session will take place between Wed 10th and Tue 16th July 2024
  • All students must be available on campus throughout this period
  • Deadline for submission of completed dissertations is 3.59 pm of Monday, 2nd September, 2024 (British Summer Time)

Sta./Appl.Fin. Timeline & details

 

  • Deadline for submission of completed dissertations is 3.59 pm of Wednesday, 28th August, 2024 (British Summer Time)
  • The oral examinations and presentations will be held in the period from Monday 9th to Monday 16th of September 2024
  • ​Arrangements are flexible and to be agreed promptly with assessor and supervisors (more details in the handbook to follow)

Handbooks

 

MATH5872: https://minerva.leeds.ac.uk/ultra/courses/_551438_1/outline/file/_11881894_1

 

MATH5871: https://minerva.leeds.ac.uk/ultra/courses/_549032_1/outline/file/_11881897_1

On Minerva MATH5871/2 Module page,

under Learning resources: preparing for your dissertation.

MSc Career Events

Agenda

  • 11-11:10 General Introduction - Luisa Cutillo
  • 11:10-11:20 Careers in Academia - Liam Carson, Postgraduate Diversity Lead Officer UoL
  • 11:20 - 11:40 Selected Projects by Supervisors:
    -     Titarenko S.,
    - Aldridge, M.,
    - Andrew B.,
    - Griffiths S.,  
    - Gusnanto A.,
    - Sharoff S.
    - Bokhove O.
  • 11:40 - 12:00 Q&A

 

Your Opinion Matters!

Do you think that Data Skills that you are learning are aligned with the needs and expectations of industry?

Take part in our Data Skills Literacy survey!

 

 

 

 

This Leeds Institute for Teaching Excellence (LITE) study gives you the voice to influence any skills gaps, shape your curriculum, and improve your employability.

Grab the chance to win £50 Amazon/Love2Shop Vouchers for participating to the survey. You will also be asked to be involved in further interviews/focus groups (incentive of £10 Amazon/Love2Shop vouchers per hour).

Visit my LITE project page for more details.