Teaching Responsibility

LJMU Schools involved in Delivery:

Computer Science and Mathematics

Learning Methods

Tutorial

Module Offerings

7509BDSA-SEP-PAR

Aims

This course is a significant independent work conducted by the master student under the supervision of academic staff as a requirement for graduation. The work represents a solving problem oriented project that provides students with an opportunity to appreciate research skills in relation to their professional career. The thesis will be examined by a selected panel of external and internal examiners.

Learning Outcomes

1.
Develop a proposal for thesis research project.
2.
Design a clear plan to implement thesis research project.
3.
Conduct big data and analytics research project.
4.
Comprehend the research project into a written report.
5.
Defend project work orally in front of examination panel.

Module Content

Outline Syllabus:A topic selected in relation to big data science and analytics on an agreement between the master student and the academic supervisor.
Additional Information:The module contributes to the master’s aim to equip the student with the required abilities and skills to perform data science on real-world applications.

Assessments

Exam
Dissertation