Data Science : MSc
Master
In Lancaster
Description
-
Type
Master
-
Location
Lancaster
-
Duration
12 Months
-
Start date
Different dates available
From business and finance or health and medicine, to infrastructure or education, data science plays a vital role in all aspects of the modern world. Our MSc programme will ensure you have an advanced level of skills, knowledge, and experience to achieve your career aspirations.
Studying for an MSc in Data Science at Lancaster will provide you with the perfect environment to develop an expertise in the discipline. Your study will build upon the fundamentals, and our specialist pathways will allow you to practise and enhance technical skills, while gaining professional knowledge that will support and advance your career aspirations.
n addition to these taught modules, you will also have the opportunity to undertake a 12-week placement either within industry or as part of an academic research project. This will provide you with a fantastic opportunity to apply your skills and knowledge to real-world situations and challenges, allowing you to gain valuable professional experience and demonstrate a working grasp of the discipline.
The placement project represents a substantial, independent research project. Supervised by an academic, you will develop your ability to gather and analyse data, draw valuable conclusions, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learnt over the year, exercise your ability to solve problems and manage a significant project. This will be great experience for you to draw upon in an interview and in your career.
Facilities
Location
Start date
Start date
About this course
Over the year, you will explore five core Data Science modules. These will ensure you have a solid advanced grounding in the subject, to support your choice of specialism.
You can choose from two specialisms according to your background and interests:
Computing
Statistical Inference
In taking one of these routes, you will gain access to a range of exciting, advanced pathway-specific modules. These modules will allow you to either enhance your understanding of data science technologies; or to gain expertise in the application of data science to business intelligence, bioinformatics, population health, the environment, or the study of society. Our specialist modules will provide you with detailed, expert knowledge and will enhance your employability. This format means that you will be equipped to apply for any data science related career, while providing you with an advantage in many industries.
The gathering, interpretation and evaluation of data is fundamental to all aspects of modern life. As a result, data science can lead to a career in a wide range of industries. The core modules of this programme will ensure you are properly equipped to apply yourself to any data role, while your specialist pathway will enhance your opportunities in specific industries, should that be the route you wish to pursue.
Studying at Masters level will further enhance your career prospects, opening up opportunities to progress further in your career.
In addition, many of our Data Scientists also elect to study a PhD qualification.
We provide careers advice and host a range of events throughout the year, including our annual careers fair, attended by exhibitors who are interested in providing placements and vacancies to computer science students and graduates. You can speak face-to-face with employers such as Network Rail, Oracle, and Johnson and Johnson, in addition to a large range of SMEs.
An upper-second class honours degree, or its equivalent, in a subject relevant to Computer Science, Mathematics or Statistics
IELTS: 6.5 or equivalent
Reviews
Subjects
- Data Mining
- Fundamentals
- Data science
- Data scientists
- Programming
- Likelihood Inference
- Generalised
- MSc Data Science
- Statistical Inference
- Modelling
Course programme
You will study a range of modules as part of your course, some examples of which are listed below.
Core
- Data Mining
- Data Science Fundamentals
- Programming for Data Scientists
- Likelihood Inference
- Generalised Linear Models
- MSc Data Science Dissertation
Optional
- Statistical Inference
- Statistical Methods and Modelling
- Elements of Distributed Systems
- Systems Architecture and Integration
- Applied Data Mining
- Clinical Trials
- Principles of Epidemiology
- Longitudinal Data Analysis
- Environmental Epidemiology
- Survival and Event History Analysis
- Forecasting
- Introduction to Intelligent Data Analysis (Data Mining)
- Optimisation and Heuristics
- Extreme Value Theory
- Multi Level Models
- Methods for Missing Data
Information contained on the website with respect to modules is correct at the time of publication, but changes may be necessary, for example as a result of student feedback, Professional Statutory and Regulatory Bodies' (PSRB) requirements, staff changes, and new research.
Additional information
Data Science : MSc