This is a four year honours degree programme delivered in partnership with Beijing Technology and Business University (BTBU) whom University College Cork has signed a bilateral agreement under statute 263 of the National University of Ireland. This programme leads to a dual degree which is awarded independently from both institutions. The programme comprises 240 credits. Students will study for two years at a BTBU, taking modules to the equivalent of 120 credits (or ECTS equivalent) and for two years at University College Cork, taking modules to the value of 60 credits in each of Third and Fourth Year. When studying at UCC a student may not register for more than 60 credits in any one academic year.

This year is spent pursuing an approved course of study at a BTBU with whom UCC has a bilateral agreement. Students take the following core modules to the value of 60 credits (or ECTS equivalent):

FLG1C4G001Comprehensive English Listening and Speaking 1(5 credits)
FLG1C6G002 Comprehensive English Reading and Writing 1 (8 credits)
FLG1C4G003 Comprehensive English Listening and Speaking 2 (5 credits)
FLG1C6G004 Comprehensive English Reading and Writing 2 (8 credits)
PAE1B1Q001 Basic Physical Quality Training (2 credits)
PAE1B1G001 Physical Education 1 (2 credits)
MAR1B3G001 Ethic & Law (4 credits)
STU1B1Q002 Military Training (2 credits)
SCI1C4B001 Mathematical Analysis 1 (6 credits)
SCI1C4B002 Mathematical Analysis 2 (6 credits)
SCI1C4B004 Advanced Algebra and Space Analytic Geometry 1 (6 credits)
SCI1C4B005 Advanced Algebra and Space Analytic Geometry 2 (6 credits)

This year is spent pursuing an approved course of study at a BTBU with whom UCC has a bilateral agreement. Students take the following core modules to the value of 60 credits (or ECTS equivalent):

FLG1C6G005 Comprehensive English 3 (8 credits)
FLG1C6G006 Comprehensive English 4 (8 credits)
CIE6C3S001 Algorithms and Data Structure (6 credits)
PAE1B1G002 Physical Education 2 (2 credits)
PAE1B1G003 Physical Education 3 (2 credits)
SCI1C4B003 Mathematical Analysis 3 (8 credits)
SCI1C4B006 Probability (5 credits)
SCI1C3D001 Mathematical Statistics (3 credits)
SCI1C3S001 Discrete Mathematics (6 credits)
SCI1C3B007 Differential Equations (6 credits)
SCI1C4S002 Mathematical Modelling and Experiment Year 2 (6 credits)

Students entering Year 3 of the programme at UCC will have taken and passed, inter alia, modules broadly equivalent to the relevant parts of the following UCC modules as part of their Year 1 & Year 2 studies at BTBU:

To be admitted to the Third University Examination in Risk and Actuarial Studies a student must have satisfactorily attended modules amounting to 60 credits comprising core modules to the value of 55 credits, and elective modules to the value of 5 credits.

Core Modules
MF2052 Introduction to Financial Mathematics (10 credits)
PA3002 Principles and Applications of Market Analysis (10 credits)
ST1050 Statistical Programming in R (5 credits)
ST3054 Survival Analysis (5 credits)
ST3055 Generalised Linear Models (5 credits)
ST3068 Probability and Statistics for Risk Applications (5 credits)
ST3074 Statistical Methods for Non-Life Insurance (5 credits)
ST3092 Statistics Readings and Literature Review Workshop (5 credits)
ST4400 Data Analysis II (5 credits)

and modules to the value of 5 credits to be chosen from the following:

Elective Modules
AM2060 C/C++ Programming with Applications (5 credits)
MA4403 Financial Mathematics (5 credits)
MF2050 Discrete Time Financial Models (5 credits)
MF2053 Financial Modelling for Actuarial Science 1 (5 credits)
ST3061 Statistical Theory of Estimation (5 credits)

Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2022/2023 Book and for each module in the Book of Modules, 2022/2023.

To be admitted to the Fourth University Examination in Risk and Actuarial Studies a student must have satisfactorily attended modules to the value of 60 credits comprising core modules to the value of 30 credits, and elective modules to the value of 30 credits.

Core Modules
ST3053 Stochastic Modelling I (5 credits)
ST4060 Statistical Methods for Machine Learning I (5 credits)
ST4061 Statistical Methods for Machine Learning II (5 credits)
ST4064 Time Series (5 credits)
ST4071 Actuarial Risk Modelling: Theory and Practical Implementation (5 credits)
ST4090 Current Topics in Statistics I (5 credits)

and modules to the value of 30 credits to be chosen from the following:

Elective Modules
AM2060 C/C++ Programming with Applications (5 credits)
AM2061 Computer Modelling and Numerical Techniques (5 credits)
MF2050 Discrete Time Financial Models (5 credits)
MF2053 Financial Modelling for Actuarial Science 1 (5 credits)
MF3052 Derivatives, Securities and Option Pricing (5 credits)
MF3053 Financial Modelling for Actuarial Science 2 (5 credits)
ST3061 Statistical Theory of Estimation (5 credits)
ST3075 Methods of Reporting in Actuarial Science (5 credits)
ST4068 Contingencies (10 credits)
ST4401 Introduction to Operations Research (5 credits)
ST4402 Modelling and Systems for Decision Making (5 credits)

Note:

1. Any elective module selected in Fourth Year must not have been taken in any previous year.
2. Students are also encouraged to consult the University's Book of Modules, 2022/2023, to be clear on the prerequisites required for each Fourth Year elective.

Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2022/2023 Book and for each module in the Book of Modules, 2022/2023.

Programme Learning Outcomes for BSc (Hons) (Risk and Actuarial Studies) (NFQ Level 8, Major Award)
On successful completion of this programme, students should be able to:

• Effectively utilise probability, mathematical and applied statistical theories, concepts, models, and frameworks as apparatus of thought for risk assessment, risk characterization and risk modelling;
• Identify the major risks faced by an insurance or financial firm and show how these risks can be managed by actuaries and quantitative analysts;
• Apply the actuarial control cycle mechanism in the management of insurance risks;
• Describe the fundamental theories, models and principles of Actuarial Science and carry out a wide range of calculations involved in financial decision making, valuation and risk modelling;
• Use computational methods as fundamental tools in the modelling and management of risk;
• Conduct undergraduate research and be able to present your results in technical and non-technical modes;
• Work in numerate and professional roles in insurance firms, financial institutions, banks, investment management and financial consultancy firms;
• Enter postgraduate research fields in the areas of Mathematical and Actuarial Science;
• Demonstrate the high professional standards required of an actuary or financial risk analyst in terms of behaviour, interpersonal and communication skills as well as a commitment to life-long learning.