Home > Study in Germany > Navitas Group - Lancaster University - Leipzig Campus > Pre-Master in Computer Science, Progression to Master of Science in Data Science
Pre-Master in Computer Science, Progression to Master of Science in Data Science
Navitas Group - Lancaster University - Leipzig Campus, Germany
EUR 13200
Annual Tuition Fee
Free
Application Fee
24 months
Duration
5.5
IELTS
67
TOEFL
55%
Min GPA
Program Overview
Pre-Master's Computer Science
The principal aim of the programme is to enable graduate students to linguistically and academically negotiate the transition to university and be prepared for the demands of a postgraduate degree programme in either cybersecurity or data science. The programme syllabus is designed around the acquisition of core academic knowledge, skills and literacy development that underpins successful higher education outcomes.
Successful completion of the Pre-Master’s programme at the required level will lead to progression to the MSc Cyber Security or MSc Data Science at Lancaster University Leipzig.
The Pre-Master’s Computer Science programme offers students an optimal preparation for their success at the taught postgraduate course of their choice. Students learn through a combination of formal, interactive lectures in relevant content areas, interactive seminars, practical workshop sessions, IT-enabled self-study opportunities and peer support activities. Practical application of theoretical knowledge allows students to develop further skills and understanding of relevant topics and concepts. In addition, formative learning opportunities are incorporated into each of the modules.
Progression to: MSc Data Science
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.
The aim of this programme is to equip you with state-of-the-art knowledge and the skill set for a successful career in data science. The ambition is to help shape the data analysts in an international context. It enables you to analyse and solve problems. This will make you able to decide 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.
Additional Information
Program Level Postgraduate Pathway
College/University Processing Time 5 Days
Program Format Full-Time
Job Seeker Visa (JSV)
General Admission Requirement
Academic Requirement
-
Minimum Level of Education Required: To be accepted for this program, students must have a bachelor's degree in statistics, Computer Science or a similar field.
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Tuition Fee
The values given below are estimated figures, excluding extra charges like material fee, student activity fees, athletic fees, health care, etc., for courses. To know more, please visit the Programs page.
Average Tuition Fee Per Year
13200
Tuition Fee
(EUR)
Free
Application Fee
(EUR)
11208 Per year
Average Cost of Living
(EUR)
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Check program website for more information about funding options.
Scholarships
Scholarship Opportunity – October 2026 Intake (Germany)
Lancaster University Leipzig – Master’s Scholarships
Lancaster University Leipzig is offering a limited number of scholarships for students interested in pursuing postgraduate studies in Germany for the October 2026 intake. This exclusive opportunity significantly reduces the tuition fee for selected Master’s programs.
Scholarship Benefit
- Tuition fee reduced to €16,000 for the full programme
- Total savings of €9,000 (approximately 35% discount on standard tuition fees)
Eligible Programmes
The scholarship is applicable to the following 1-year Master’s programs:
- MSc Business Analytics
- MSc Cyber Security
- MSc Data Science
- MSc Logistics and Supply Chain Management
- MSc Management
Eligibility Criteria
Applicants must meet the following requirements:
- Must be an Indian student (new or existing applicant)
- Must have applied for one of the eligible Master’s programmes at Lancaster University Leipzig
- Must meet the academic and English language entry requirements for the chosen programme
- Must hold an offer (conditional or unconditional) from the university
- Scholarship awards are limited and allocated on a first-come, first-served basis
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