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Pre-Master in Computer Science, Progression to Master of Science in Data Science Navitas Group - Lancaster University Navitas Group - Lancaster University, Germany

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EUR 17250

Annual Tuition Fee

!
*Subject to change and other fees
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 Free

Application Fee

Duration icon

24 months

Duration

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5.5

IELTS

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67

TOEFL

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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.

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Additional Information

Program Level Postgraduate Pathway

College/University Processing Time 5 Days

Program Format Full-Time

Job Seeker Visa (JSV) work permit

Program Intake

Open

Jan 2026, Oct 2025

Closed

Jan 2025, Oct 2024

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 similar.

    5.5 IELTS Score
    67 TOEFL Score Minimum Overall Score
    42 PTE Score Minimum Overall Score
    55% CGPA Minimum Overall Score

    Similar Programs

    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

    17250

    Tuition Fee
    (EUR)

     Free

    Application Fee
    (EUR)

    11208 Per year

    Average Cost of Living
    (EUR)

    info icon

    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

    Scholarships - Undergraduate

    Programme Scholarship Type Entry Criteria Full Programme Fee Scholarship Value
    All BSc Direct Entry Merit A-Levels: A*AA /IB: 38 and above

    International: €18,000

    EU/UK: €10,800

    International fee payers: €2,000 in the first year of study

    EU/UK fee payers: €1,000 in the first year of study

    All BSc Direct Entry Early Acceptance Conditional or Unconditional offer accepted by April 1st 2025

    International fee payers: €1,500

    EU/UK fee payers: €1,000

    Foundation Business and Foundation Computer Science
    (Two semesters)
    Early Acceptance Conditional or Unconditional offer accepted by April 1st 2025

    International fee payers: €2,000
    EU/UK fee payers: €1,000

    Foundation Business and Foundation Computer Science
    (Three semesters)
    Early Acceptance Conditional or Unconditional offer accepted by April 1st 2025

    International: €22,000

    EU/UK: €14,500

    International fee payers: €2,000
    EU/UK fee payers: €1,000

     

     

    Scholarships - Postgraduate

    Programme Scholarship Type Entry Criteria Full Programme Fee Scholarship Value
    All MSc Direct Entry Early Acceptance Conditional or Unconditional
    offer accepted by
    April 1st 2025
    International: €24,500
    EU/UK: €16,250
    International fee payers: €3,000
    EU/UK fee payers: €1,000
    MSc Logistics and Supply Chain Management
    MSc Management
    Merit International fee payer
    2:1 or equivalent
    International: €24,500 €4,000
    MSc Cyber Security
    MSc Data Science
    Merit International fee payer
    1st class or equivalent
    International: €24,500 €4,500
    Pre-Master’s Business Early Acceptance

    International fee payer
    Offer accepted by
    April 1st 2025


    International fee payer
    Offer accepted by
    May 1st 2025

    International: €17,250

    €4,000


    €2,000

    Pre-Masters’s Computer Science Early Acceptance

    International fee payer
    Offer accepted by
    April 1st 2025


    International fee payer
    Offer accepted by
    May 1st 2025

    International: €17,250

    Scholarship divided into two
    equal installments: first half
    towards Pre-Master’s, second half
    towards MSc upon successful
    progression from Pre-Master’s.
    €7,000 (€3,500 each year)


    €5,000 (€2,500 each year)

    All MSc Direct Entry Alumni Loyalty All BSc and MSc degree
    holders from any Lancaster
    University campus
    International: €24,500
    EU/UK: €16,250
    10% fee discount of tuition fees

     

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