The module aims to make sure that all students, whatever options they may later choose, have studied certain major works, and have so gained a preliminary idea of English literary history and its main movements from the early modern period to the present. In addition, the module introduces the study of narrative in the poetry and fiction of this period, and gives students experience of studying complete and complex works in a relatively short time. Works are studied in chronological order.

The MA dissertation, the copestone of the MA in Language, Culture and Society, should be 12,000 words long, written in English or one of the foreign languages...

The MA dissertation, the copestone of the MA in Language, Culture and Society, should be 12,000 words long, written in English or one of the foreign languages taught in the School of European Languages, Culture and Society, and submitted at the end of the programme (beginning of September).

In their dissertations the student are expected to investigate a research question in considerable depth, demonstrate good research skills and show an independence of thought. Dissertation are supervised by a School teaching staff and should focus on a literary or historical or cultural topic agreed with the supervisor and, if appropriate, the SELCS Graduate Tutor.

Dissertations normally focus on an analysis of the literature, history or culture associated with the twelve languages taught in the School: Catalan, Danish, Dutch, French, Galician, German, Icelandic, Italian, Norwegian, Portuguese, Spanish and Swedish.

Aims:

The aim of this module is to teach about the modern digital financial landscape. The module starts off with a foundation in finance and the most common...

Aims:

The aim of this module is to teach about the modern digital financial landscape. The module starts off with a foundation in finance and the most common financial products. Applications of emerging technologies such as AI and blockchain in finance are also covered. This is a practical module where the theoretical material taught is applied in programming workshops.

Learning outcomes

On successful completion of the module, a student will be able to:

Understand the foundations of finance, including the time value of money, payments, corporate finance and portfolio theory.
	Understand the core financial products including stocks, bonds, derivatives, credit, options and insurance.
	Understand ways to apply emerging technologies such as AI and blockchain combined with new business models to financial services.
	Use python for financial modelling.
Content:

This module seeks to provide a foundational knowledge of finance, financial products and technology applied to financial services. This is a hands-on module where students apply Python programming practically in all aspects of the taught material in this course. Starting off with basic finance knowledge, we move on to understand the main products in the financial services domain including equity, bonds, derivatives and options. We will also discuss credit, insurance and portfolio theory. In addition, the module covers how new emerging technologies and new business models are advancing financial products and services.

Requisites:

To be eligible to select this module as an optional or elective, a student must: (1) be registered on a programme and year of study for which it is formally available; (2) have basic understanding of programming; and (3) be confident with fundamental financial mathematics, including but not limited to probability theory and statistics.