Our Blog

15-Feb-2023      Education    Shashank Kumar

Data Science is one of the most in-demand fields in the modern world, offering a wide range of career opportunities for students looking to pursue a career in this field. With the rise of big data and the increasing demand for data-driven decision-making, a degree in data science is becoming more and more valuable. The good news is that there are many universities across the world that offer top-notch education in data science. In this article, we’ll take a look at the top 5 universities for data science, with a focus on universities in Europe.

MSc Data Science, AI, and Digital Business

Location - Potsdam , germany ,  Online

Duration 12 or 24 months

Intake - Jan, Apr, July, October 2023

Fees - € From 13,000 per course

Fees and funding

Flexible payment plan

GISMA offers flexible payment plans that allow you to spread the costs of your programme fees in up to six instalments. A refundable* deposit of €2,000 is required to secure your place, and the remainder of the tuition fee is to be paid after the start of the programme in accordance with your payment schedule.

You will be eligible for a discount of 5% off the total fee if the payment of the entire tuition fee is completed before the first instalment due date.

Payments are accepted by bank transfer, or via one of our payment partners – Transfermate and Stripe. If you have any queries regarding payment options, please speak to a programme consultant.

*Terms and conditions apply.

Entry requirements

• Bachelor’s degree in relevant discipline or equivalent work experience
• 3 years of work experience
• English proficiency: B2 (IELTS 6.5) or equivalent
• Personal Interview
• Job reference

For non-standard entry routes please seek clarification on requirements with our admissions team.

Flexible payment plan

GISMA offers flexible payment plans that allow you to spread the costs of your programme fees in up to six instalments. A refundable* deposit of €2,000 is required to secure your place, and the remainder of the tuition fee is to be paid after the start of the programme in accordance with your payment schedule.

You will be eligible for a discount of 5% off the total fee if the payment of the entire tuition fee is completed before the first instalment due date.

Payments are accepted by bank transfer, or via one of our payment partners – Transfermate and Stripe. If you have any queries regarding payment options, please speak to a programme consultant.

*Terms and conditions apply.

If the student is from india - https://www.gisma.com/school/student-experience/aps-step-by-step-guide

MSc Data Science, AI, and Digital Business

Full-time

Location - GISMA Potsdam Campus

Duration - 36 months

Intake - Jan, Apr, July, October 2023

Fees - € from 9,600 per year.

€ 10500 International students

Fees and funding

GISMA offers flexible payment plans that allow you to spread the costs of your programme fees in up to six instalments. A refundable* deposit of €2,000 is required to secure your place, and the remainder of the tuition fee is to be paid after the start of the programme in accordance with your payment schedule.

You will be eligible for a discount of 5% off the total fee if the payment of the entire tuition fee is completed before the first instalment due date.

Payments are accepted by bank transfer, or via one of our payment partners – Transfermate and Stripe. If you have any queries regarding payment options, please speak to a programme consultant.

*Terms and conditions apply.

Flexible payment plan

GISMA offers flexible payment plans that allow you to spread the costs of your programme fees in up to six instalments. A refundable* deposit of €2,000 is required to secure your place, and the remainder of the tuition fee is to be paid after the start of the programme in accordance with your payment schedule.

You will be eligible for a discount of 5% off the total fee if the payment of the entire tuition fee is completed before the first instalment due date.

Payments are accepted by bank transfer, or via one of our payment partners – Transfermate and Stripe. If you have any queries regarding payment options, please speak to a programme consultant.

*Terms and conditions apply.

Entry requirements

• Bachelor’s degree in relevant discipline or equivalent work experience
• 3 years of work experience
• English proficiency: B2 (IELTS 6.5) or equivalent
• Personal Interview
• Job reference

For non-standard entry routes please seek clarification on requirements with our admissions team.

If the student is from india - https://www.gisma.com/school/student-experience/aps-step-by-step-guide

Data Science, MSc

 Starting semesters

Winter semester: September

Summer semester: March

Tuition fees | EU applicants

Standard Track (120 ECTS) and Fast Tracks (90 & 60 ECTS) study options

from € 820 monthly

Save an additional discount of at least 15%. Please find out more about our fees, discounts, and how you can fund your studies.

Tuition fees | Non-EU applicants

Standard Track (120 ECTS) and Fast Tracks (90 and 60 ECTS) study options

from € 10,938 yearly

Save an additional discount of at least 15%. Please find out more about our fees, discounts, and how you can fund your studies

Degree-Master of Science, MSc

 Duration-2,3 or 4 semesters

 Language of instruction -English

Requirements -English proficiency, B.Sc. degre

Digital Business & Data Science, BSc

 Starting semesters

Winter semester: September

Summer semester: March

6 Semesters in total (full-time)

Tuition fees | EU applicants

Standard: € 708 monthly

Tuition fees | Non-EU applicants

Standard: € 12,100 yearly

 Language of instruction -English (UE Innovation Hub, Hamburg)

 Degree-Bachelor of Science (BSc)

Internship semester / semester abroad -5th Semester

 Campus-Innovation Hub, Hamburg (English)

Diploma in Data Analytics Co-op

This one-year program, Diploma In Data Analytics Co-op, is powered by AWS Educate, Tableau and Perlego. It will help you to develop the in-demand skills and knowledge needed to analyze data and drive decision-making to improve business performance.

2023 Fees

$14,745 CAD Fees after scholarship*

International Students -$13,250(Daytime session)

 Domestic Students-$7,250 (Daytime session)

*Additional fees may apply. All fees are in Canadian dollars. Please see Fees page to learn more.

 Duration:

Full-time Academic: 24 weeks in class and 12 weeks of co-op

Total length: 52 weeks including scheduled breaks

Start Dates: Blended Learning

January 9, 2023

May 1, 2023

September 5, 2023

Class Time:Daytime

The co-op work experience could include positions in the following areas:

1.       Data Analyst

2.       Data Mining Analyst

3.       Business Analyst

Admission Requirement

For non-native English speakers:

Successful completion of TSoM EAP Level 4 or

Have the required IELTS 5.5 score or equivalent or

Pass the TSoM English Assessment (Written onsite or online with exam proctor)

 Graduates of this diploma can consider career opportunities under NOC 2172 which includes positions such as

1.       Data analyst

2.       Database analyst

3.       Data mining analyst

4.       Data warehouse analyst

Data Analytics 

Course Details

Duration: 4 weeks, 4–6 hours per week

Delivery: Online

Fees:  €1,320 for Non-BSBI student | Free for BSBI students on academic degree programmes

Who should take this course?

This programme is developed for professionals who aspire to manage an organisation and make important business decisions backed by data. In specific, the course will be most beneficial to:

1.  Middle to top level business managers
2. responsible for enhancing the value of firm.
3. Entrepreneurs who wish to plan future
4. business decisions and evaluate business plans.
5. Consultants who aim to provide data driven solutions for business organisations.

MSc Data Analytics

 Location: BERLIN

 Delivery: On campus

Duration: 18 months

2023 Intakes: Feb, May, October

Campus: Berlin, Germany

Degree awarded by University for the Creative Arts

2023 Price: €12,600 (international students) | €8,000 (EU students)

Who should take this programme?

This course is perfect for those with a desire to pursue a career in the field of computer science or data analytics who are looking to understand the fundamentals of data analytics. Collaborative and informative learning techniques will be utilised to prepare students for their professional careers.

Entry Requirements

 Minimum age: 21

 Academic qualifications:

 • Successful completion of a Bachelor’s Degree from a recognised university

• Consideration will also be given to applicants with minimum of 3 relevant work managerial experience, demonstrating an ability to study at postgraduate level

English language requirements:

 Official English Tests

IELTS – minimum OS 6.0 (with min 5.5 in each component);

Password test – minimum OS 6.0 (with min 5.5 in each component);

PTE (Academic) – minimum OS of 56 ( with min 51 in each component);

TOEFL IBT OS 80 (Listening 17, Reading 18, Speaking 20, Writing 17);

Cambridge English Advanced (CAE) or Cambridge English Proficiency OS 69 (min 162 in each component)

LanguageCert International ESOL SELT OS B2 Communicator High Pass (min 33 in each component)

Duolingo test with an overall score of 105

West African Certificates (WAEC AND NECO only) as a stand-alone with a minimum of C6 in English and issued within the last 5 years. Kenya Certificate of Secondary Education (KCSE) is also accepted with an overall grade C or above. For Tanzania and Cameroon, we request an IELTS (or equivalent certificate).

WAEC/NECO must be enhanced by a successful (50%+) Internal English Assessment if issued more than 5 years ago.

Applicants who have an insufficient score in one component (i.e. 5.0 instead of 5.5) but overall meets the required threshold, can sit for an English diagnostic test online. Students based in Germany will also be able to sit for an internal assessment, free of charge, with a successful passing rate of 50%+.

You have completed a Bachelor’s Degree in one of the majority English speaking countries within the last two years.

You have achieved a Bachelor’s Degree from a recognised university (according to ECCTIS UK), where the Method of Instruction was entirely in English (teaching and assessment).

Exceptions

You do not need to prove your knowledge of English if you have completed a qualification equivalent to a UK degree in:

• Antigua and Barbuda, Australia, the Bahamas, Barbados, Belize, Dominica, Grenada, Guyana, Ireland, Jamaica, New Zealand, St Kitts and Nevis, St Lucia, St Vincent and the Grenadines, Trinidad and Tobago, UK, USA

Data Analytics (MS)

This program is offered by the George Herbert Walker School of Business & Technology and is only available at the St. Louis home campus.

 Learning Outcomes

By the end of the program, students will be able to:

1. Compose query statements to implement the data definition and manipulation.
2. Construct multidimensional data cubes analysis.
3. Apply effective methods for analyzing, presenting and using informational data.
4. Develop meaningful reports and visualization of business data analytics appropriate to a technical and non-technical audience.
5. Articulate forecasting and predictive models for real-world analytical applications.

 Additional Requirements

Requirements for admission to the MS in data analytics program include:

 Preliminary Skills and Prerequisite Courses

 To ensure adequate preparation in both information technology and business, an applicant to this data analytics program must have basic business knowledge and basic information technology knowledge. The Walker School of Business & Technology accepts individuals who have successfully graduated from undergraduate computer science, information systems, mathematics, business administration, management or similar degree programs and possess the basic business, mathematics and information technology knowledge.

Requirements

 Official transcripts from all of your previously attended colleges and universities (including community colleges and summer courses).

To be eligible for this program, students must have either:

Earned an undergraduate degree in business, management, computer science, statistics, economics, biology (BS), chemistry (BS) or physics (BS).

 OR

 Completed college-level algebra and statistics, in the last 5 years, with a B or better in both courses.

Have work experience that includes business, database and analytics.

A phone interview or essay may be required.

It is preferred that students have a business background and strong analytical skills.

Data Analytics (BS)

Learning Outcomes

1. Students will be able to demonstrate critical thinking skills in the field of data analytics.
2. Students will be able to demonstrate the ability to solve problems related to the program content.
3. Students will be able to demonstrate an understanding of the concepts and principles of software systems.
4. Students will be able to analyze, design and document a system component using appropriate data analytical techniques and models.
5. Students will be able to demonstrate the ability to incorporate various data analytics elements.
6. Students will be able to demonstrate an understanding of fundamental principles of data analytics systems and technologies.

Degree Requirements

For information on the general requirements for a degree, see Baccalaureate Degree Requirements under the Academic Policies and Information section of this catalog.

 A minimum of 120 credit hours consisting of the following:

1.  39 required credit hours
2. Applicable University Global Citizenship Program hours
3. Elective credit hours
4. At least 21 of the required 39 credit hours must be taken at Webster University. All upper-level courses must be taken at Webster University.