(PROVISIONAL)

2021/2022

BSc (Hons) (Data Science and Analytics)


NFQ Level 8, Major Award

Note: Every effort has been made to ensure that the programme and module content as described in the University's Calendar and Book of Modules for the 2021-22 academic year are accurate. However, due to the Coronavirus (COVID-19) pandemic, no guarantee is given that programme/module content, delivery and assessment may not be altered, cancelled, replaced, augmented or otherwise amended. Any changes will ensure the same competencies and Learning Outcomes are met. Programme and/or Module Coordinators will communicate any such changes to students.

This is a a four year honours degree programme delivered jointly by the School of Computer Science and the School of Mathematical Sciences. This programme includes a six-month work placement/project (CS3220) in Third Year.

To be admitted to the First University Examination in Data Science and Analytics 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

CS1106 Introduction to Relational Databases (5 credits)
CS1112 Foundations of Computer Science I (5 credits)
CS1113 Foundations of Computer Science II (5 credits)
CS1117 Introduction to Programming (15 credits)
AM1054 Mathematical Software (5 credits)
MA1058 Introduction to Linear Algebra (5 credits)
MA1059 Calculus (5 credits)
ST1050 Statistical Programming in R (5 credits)
ST1051 Introduction to Probability and Statistics (5 credits)

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

Elective Modules
AM1053 Introduction to Mathematical Modelling (5 credits)
ST1401 Introduction to Operations Research (5 credits)

Module Semester Information may be found here. Module Descriptions may be found here.

Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2021/2022 Book and for each module in the Book of Modules, 2021/2022.

To be admitted to the Second University Examination in Data Science and Analytics 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
CS2208 Information Storage and Management I (5 credits)
CS2209 Information Storage and Management II (5 credits)
CS2513 Intermediate Programming (5 credits)
CS2514 Introduction to Java (5 credits)
CS2515 Algorithms and Data Structures I (5 credits)
CS2516 Algorithms and Data Structures II (5 credits)
MA2055 Linear Algebra (5 credits)
MA2071 Multivariable Calculus (5 credits)
ST2053 Introduction to Regression Analysis (5 credits)
ST2054 Probability and Mathematical Statistics (10 credits)

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

Elective Modules
AM2052 Mathematical Modelling (5 credits)
ST2402 Modelling and Systems for Decision Making (5 credits)

Module Semester Information may be found here. Module Descriptions may be found here.

Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2021/2022 Book and for each module in the Book of Modules, 2021/2022.

To be admitted to the Third University Examination in Data Science and Analytics a student must have satisfactorily attended modules amounting to 60 credits.

Core Modules
CS3204 Cloud Infrastructure and Services (5 credits)
CS3205 Data Visualization for Analytics Applications (5 credits)
CS3220 Work Placement DSA (10 credits)
CS3306 Workplace Technology and Skills (10 credits)
CS3318 Advanced Programming with Java (5 credits)
CS3509 Theory of Computation (5 credits)
ST3053 Stochastic Modelling I (5 credits)
ST3061 Statistical Theory of Estimation (5 credits)
ST3069 Generalised Linear Models (5 credits)
ST3070 Statistical Theory of Hypothesis Testing (5 credits)

Module Semester Information may be found here. Module Descriptions may be found here.

Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2021/2022 Book and for each module in the Book of Modules, 2021/2022.

To be admitted to the Fourth University Examination in Data Science and Analytics a student must have satisfactorily attended modules to the value of 60 credits comprising core modules to the value of 45 credits, and elective modules to the value of 15 credits.

Core Modules
CS4701 Analytics Project for Computer Science (15 credits) or
ST4092 Data Analytics Project (15 credits)
and
CS4704 Algorithms and Data Structures for Analytics (5 credits)
CS4705 Computational Machine Learning (5 credits)
ST4060 Statistical Methods for Machine Learning I (5 credits)
ST4061 Statistical Methods for Machine Learning II (5 credits)
ST4069 Multivariate Methods for Data Analysis (10 credits)

and modules to the value of 15 credits to be chosen from the following:

Elective Modules
AM2061 Computer Modelling and Numerical Techniques (5 credits)
AM3064 Computational Techniques (5 credits)
AM4006 Mathematical Modelling of Biological Systems with Differential Equations (5 credits)
AM4010 Topics in Applied Mathematical Modelling (5 credits)
CS4150 Principles of Compilation (5 credits)
CS4405 Multimedia Compression and Delivery (5 credits)
CS4407 Algorithm Analysis (5 credits)
CS4413 Future and Emerging Technologies (5 credits)
CS4614 Introductory Network Security (5 credits)
CS4615 Computer Systems Security (5 credits)
CS4616 Distributed Algorithms (5 credits)
CS4620 Functional Programming I (5 credits)
CS4626 Constraint Programming and Optimisation (5 credits)
CS4710 Programming Paradigms for Big Data (5 credits)
ST3054 Survival Analysis (5 credits)
ST4064 Time Series (5 credits)
ST4090 Current Topics in Statistics I (5 credits)

Module Semester Information may be found here. Module Descriptions may be found here.

Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2021/2022 Book and for each module in the Book of Modules, 2021/2022.

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


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