Study at Lancaster University Leipzig
Leipzig, Germany
| Programme details | |
|---|---|
| Degree: | Master of Science (MSc) |
| Discipline: |
Data Science & Big Data
|
| Duration: | 12 months |
| Study modes: | full-time |
| Delivery modes: | on-campus |
| University website: | Data Science |
| Annual tuition (EEA) | 15,500 EUR |
| Annual tuition (non-EEA) | 23,500 EUR This applies to citizens of Hong Kong |
Request information from Lancaster University Leipzig
From business and finance to health and medicine, from infrastructure to societal studies, 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 in this rapidly expanding, highly in-demand field to achieve your career aspirations.
Studying for an MSc in Data Science at Lancaster University in Leipzig will provide you with the perfect environment to develop an expertise in the discipline. You will develop and consolidate your fundamental skills in both computing and statistics before progressing onto more advanced modules which allow you to acquire and enhance advanced technical skills, while gaining professional knowledge that will support and advance your future career choices.
In addition to these taught modules, you will also 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 firm grasp of the discipline.
The placement project represents a substantial, independent research project. Supervised by an academic specialist, you will develop your ability to formulate a project plan, gather and analyse data, interpret your results, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learned over the year, expand your problem-solving abilities and manage a significant project. This will be great experience for you to draw upon in an interview and in your career.
The aim of this programme is to equip you with state of the art knowledge and the skill set required to lead a successful career in data science in an international context. The ambition is to help shape the data analysts of the future, enabling you to analyse and solve problems and to make decisions with an awareness of the strategic context, the role of technology and of managing within and between organisations. The programme is designed to provide you with a solid core knowledge in data science, data mining, statistics and related programming.
The programme is designed for graduates interested in careers in data science and statistics. Graduates will be able to work as consultants or employees in any industry.
Course structure: Information contained on the website with respect to modules is correct at the time of publication, and the University will make every reasonable effort to offer modules as advertised. In some cases changes may be necessary and may result in some combinations being unavailable, for example as a result of student feedback, timetabling, staff changes and new research. Not all optional modules are available every year.
Today’s most rewarding technical and managerial jobs often involve working with data and systems, managing the large quantities of data entering an organisation, and translating data into words and data visualizations that others can easily understand.
Therefore, you will develop and consolidate your fundamental skills in both, computing and statistics, before progressing onto one of our specialist pathways which allows you to acquire and enhance advanced technical skills, while gaining professional knowledge that will support and advance your future career choices.
The programme is designed for graduates interested in careers in data science. The offering will be also suitable for students pursuing a Master’s degree as an extension to their BSc in Computer Science/ Statistics or other fields that equipped them with the necessary pre-requisites. Graduates from this course can expect to work as data scientist in general, but more specifically as:
It is not only the IT giants like Google that deal with Big Data. Virtually every company accumulates, processes, and evaluates data. Therefore, after obtaining the degree you will be equipped to work in a wide range of fields and responsibilities.
In Leipzig specifically, the main industries include Life Science and Biotechnology and, of course, IT that handle large amounts of data every day. The three Max-Planck-Institutes, Bio City Leipzig and over 1200 IT companies in Leipzig are just examples for Leipzig’s diverse biotech and digital innovation landscape. Here you can apply your skills to advance local research and industry as a Data Scientist.
Find more information on the website of Lancaster University Leipzig: