Data Science – MSc
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 have the option to undertake a 12-week placement in industry as part of dissertation 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.
Your dissertation 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.
Intakes
- Jan
- Oct
Application Processing Time in Days: 30
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Today’s most rewarding technical and managerial jobs often involve working with data and systems. Employees have to manage large quantities of data entering an organisation. They also have to translate 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. After that you progress onto one of our specialist pathways. These allow you to acquire and enhance advanced technical skills, while gaining professional knowledge. It supports 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. The MSc functions as an extension to their BSc in Computer Science/ Statistics or other similar fields. Graduates from this course can expect to work as data scientist in general, but more specifically as:
Data Analyst
Data Scientist
Data Engineer
Data Manager
Computer System Analyst
Statistician
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.
Admission Requirement / Eligibility Criteria
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
-
Total Tuition Fee:
24500 EUR
Average Cost of Living: 10200 EUR /year
Application Fee: N/A