In Ireland, a master’s degree in data science is a one- to one-and-a-half-year full-time program that teaches students how to extract useful information from vast amounts of data. Part-time courses last between two and three years. In most Irish institutions, it is available as a computer science specialty.
The average cost of studying for an MS in Data Science at leading universities in Ireland is between 8,000 USD and 25,000 USD per year.
Students having an engineering background or a bachelor’s degree in science or mathematics from an Irish university are eligible to pursue a Masters in Data Science.
In Ireland, a student with a data science degree may earn up to 88,710 USD per year.
Why Study MS in Data Science in Ireland?
Big data/analytics and business analytics are among the top five most scarce talents in the globe, according to Harvey Nash/2019 KPMG’s CIO Survey Report.
Six Irish institutions are ranked in THE Global 2020 rankings, and all of them offer master’s degrees in data science.
After completing a master’s degree at an Irish university, overseas students can work for two years on a post-study work visa, making it an ideal destination for those looking to start a career abroad.
During your studies in Ireland, you will have the possibility to work in one of 28 EU countries. This allows the student to gain worldwide industry exposure.
Ireland is ranked among the top 20 safe countries in the world in terms of living standards, peace, and equality.
There are now around 20,000 jobs available in Ireland for students seeking a master’s degree in data science.
With 92 percent of people employed, the future seems bright. Because the MS in Data Science is an industry-driven program, it has the best employability.
Top Universities offering MS in Data analysis in Ireland
The Ranking 2020 the Ranking 2020
University
Program OfferedOffered
Duration
Program Fees (in USD)s (in USD)
164
Trinity College Dublin
MS in Computer Science (Data Science strand)
Full-time: 1 year
25,758
201 – 250
University College of Dublin
MS Data Analytics (Online – Part-time)
Online, Part-time: 3 years
21,322
251 – 300
National University of Ireland Galway
MS in Computer Science (Data Analytics)
Full-time: 1 year
23,499
301 – 350
Maynooth University
MS in Data Science and Analytics
Conversion Course: 1 year
16,132
301
University College Cork
MS in Data Science and Analytics
Full-time: 1 year
19,359
601
Dublin City University
Master in Computing (Data Analytics)
Full-time: 1 year: Part-time: 2 years
7,528
801
Technological University Dublin
MSc in Computing (Data analytics Major)
Full-time: 1.5 years
23,638
–
Institute of Technology, Carlow
Master of Science in Data Science
Full-time: 1 year
23,392
MS in Data analysis in Ireland
A master’s degree in data science covers disciplines such as vision technology, intelligent systems, data science, and graphics. Students will be prepared to work as technologists in data-driven industries such as healthcare, information technology, finance, and transportation.
MS in Data Science in Ireland provides an in-depth understanding of data collection and storage in order to provide actionable insights for a company’s growth. As a result, the course curriculum is divided into two or three semesters, including a dissertation requirement.
In Ireland, you must study the following modules:
Data Analytics, Scalable Computing, Research Methods, and Innovation are covered in Term 1 (Machine Learning).
Term 2 (January-March): Data Analysis Optimization Algorithms, Security and Privacy, Data Visualization, and Applied Statistical Modeling
Dissertation in Term 3 (April-August)
Admission Process of MS in Data Analysis in Ireland
International students applying to Ireland’s institutions for an MS in Data Science have slightly different entrance criteria than local students. To be sure of all the facts of the admissions process, it is usually a good idea to go to the official websites of the colleges providing the program.
The sections below will go through the basics of the application process and prerequisites for overseas students interested in pursuing a master’s degree in data science in Ireland.
How to apply for MS in Data Analysis in Ireland?
The following is a step-by-step guide to effectively submitting an application:
Select a course: Applicants must select the subject and university where they wish to pursue their education.
Use the following link to apply online: After being selected, submit an application to the Postgraduate Application Centre before the deadlines. There may be a 55-dollar application charge.
Obtain Documents: Along with the application, scanned copies of the needed papers must be posted to the PAC website.
Applications are due by the following date: Every year, the application period for overseas students is available until early November.
Academic Requirements for MS in Data Analysis in Ireland
Bachelor’s degree in engineering or mathematics
Minimum 60% at the undergraduate level.
Mathematical and statistical problem-solving skills
Proof of English Proficiency
English Proficiency Requirement for International Students
Type of expenses
Expenses (in USD)
Visa Application fees (One-time)
80
TOEFL
170
Application fee
55 (approx)
IELTS
250
Tuition Fees for MS in Data Analysis in Ireland
Scholarships for MS in Data Analysis in Ireland
Scholarship
University
Eligibility
Scholarship Amount
Centenary Scholarship Program
Dublin Institute of Technology
International students with first-class in honors
50% of the tuition fee of the program
Max Arthur Macauliffe Special Merit Scholarship
National University of Ireland, Galway
Indian students’ excellent records in academics
Complete fee waiver
Sir Peter Freyer Special Merit Scholarship
National University of Ireland, Galway
Selected Indian students
15,09 USD
Maynooth University Scholarships
Maynooth University
International students applying for postgraduate programs
1200-3,440 USD/academic year
UCD Scholarships
University College Dublin
International students applying for postgraduate programs
50% of tuition fees
Scope of MS in Data Analysis in Ireland
Sector
Recruiters
Financial Services
Bank of America Merrill Lynch, Bank of Ireland, PWC
Specialist Software Development Houses
Apple, Cisco, Citi tech, Turbine
Manufacturing Companies
Enterprise Ireland, IB
Telecom Companies
BT, Ericsson, Trend Micro
In Ireland, the most sought-after education is a master’s degree in data science. Data science graduates have little trouble finding work, thanks to a greater percentage of employability and the presence of big giants like Google, Amazon, and Facebook in the nation.
Ireland is also an attractive location for foreign students since it is one of the safest countries in the world and places a high value on equality. A permanent residency permit from the Irish government can be obtained in as little as two years. As a result, an MS in Data Science in Ireland is not just a profitable program, but also a passport to Ireland.
Frequently Asked Questions
1. Which university is best for MS in Data Science in Ireland?
Ans. Some of the top universities in Ireland for MS in Data Science are Trinity College Dublin, University College Dublin, Maynooth University, University Cork College, etc.
2. Is Ireland good for MS in Data Science?
Ans. According to THE World Ranking of 2020, Ireland has eight MS in Data Science programs that are among the best in the world. Additionally, by paying an average tuition rate of 8,000 USD- 25,000 USD per year, you may make up to 55,444 USD- 88,710 USD per year.
3. How can I become a data scientist in Ireland?
Ans. A degree in data science or analysis is necessary to work as a data scientist in Ireland. For anyone interested in pursuing a career in this profession, mathematical and statistical problem-solving abilities are required.
4. What can I do with a master’s in data science in Ireland?
Ans. After earning your MS in Data Science, you can work as a data scientist, data analyst, or business intelligence analyst in Ireland.
In Germany, master’s degrees in data science teach students about big data analysis, machine learning, cloud computing, mining, programming, data visualization, hacking, and statistics in depth.
In Germany, master’s degrees in data science teach students about big data analysis, machine learning, cloud computing, mining, programming, data visualization, hacking, and statistics in depth. The course also covers machine learning principles, understanding hidden patterns in raw data, and segmentation.
In Germany, a master’s degree in data science is a 1.5 to the 2-year program offered by well-known, reputable, and elite universities. The Technical University of Munich, Ludwig Maximilian University of Munich, Technical University of Dortmund, and other top-ranked and best colleges in Germany for Masters in Data Science include the Technical University of Munich, Ludwig Maximilian University of Munich, Ludwig Maximilian University of Munich, Ludwig Maximilian University of Munich, Ludwig Maximilian University of Munich, Ludwig Maximilian University of Munich, The top Data Science colleges in Germany in the public category provide tuition-free education, whilst the average tuition fees for a Master’s in Data Science are around $50,000.
Students interested in pursuing a Masters in Data Science in Germany must meet the course’s eligibility requirements. A bachelor’s degree in a related discipline of studies, such as mathematics, physics, statistics, computer science, or economics, is required. Aside from academic qualifications, applicants must pass any entrance exam such as the GRE or GMAT, as well as have a valid score on any English language test (IELTS, TOEFL, etc.). In addition, all necessary documents must be present, such as a VISA, passport, letter of recommendation, and so on.
In Germany, a master’s degree in data science can lead to a wide range of professional prospects and a long career path. Several of Germany’s best Master in Data Science programsalso provide students with internship possibilities after they complete their studies. Candidates can work with top-tier MNCs such as Accenture, IBM, Oracle, Bank of America, Walmart, Apple, and others as data scientists, data analysts, and data engineers. The average income at the outset of a career might range between INR 40 LPA and INR 60 LPA, depending on experience and expertise in the industry.
University NameUniversity Name
QS Ranking 20222022
Average Fees (USD/year)SD/year)
Technical University of Munich, Munich
50
144
Ruprecht-Karls-Universität Heidelberg, Hiedelberg
63
382
Ludwig-Maximilians-Universität München, Munich
64
287
University Name
Acceptance Rate MSeptance Rate MS
Average Fees in IN Average Fees in INR
Technical University of Munich, Munich
0.08
10737
Ruprecht-Karls-Universität Heidelberg, Heidelberg
0.17
28484
Ludwig-Maximilians-Universität München, Munich
0.1
21400
Freie Universitaet Berlin, Berlin
0.15
657237
Humboldt-Universität zu Berlin, Berlin
0.18
NA
KIT, Karlsruhe Institute of Technology, Karlsruhe
20-30%
2,46,072 – 14,32,441
Technische Universität Berlin (TU Berlin), Berlin
0.08
970058
RWTH Aachen University, Aachen
0.1
1910962
Albert-Ludwigs-Universität Freiburg, Freiburg im Breisgau
0.64
215187
IU International University of Applied Sciences
70-80%
1240000
Freie Universitaet Berlin, Berlin
127
8814
Humboldt-Universität zu Berlin, Berlin
128
NA
KIT, Karlsruhe Institute of Technology, Karlsruhe
136
3,330 – 19,210
Technische Universität Berlin (TU Berlin), Berlin
159
13010
RWTH Aachen University, Aachen
165
25629
Albert-Ludwigs-Universität Freiburg, Freiburg im Breisgau
172
2886
Eberhard Karls Universität Tübingen, Tübingen
177
3330
Rate of Acceptance
Some of the top colleges in Germany that offer Masters in Data Science, as well as their acceptance rate for MS in Data Science in Germany and typical annual costs, are included below:
Masters in Data Science in Germany (Admission Process)
The majority of universities in the United States are classified as either public or private. The main distinction is that one is supported by the government (public), while the other is not (private). Although the admission criteria are less stringent than in public schools, the acceptance rate in private schools is substantially greater than in public schools
Admission to German colleges that offer a Master’s in Data Science is based on merit as well as the candidates’ performance on entrance exams such as the GRE, GMAT, and others. To be considered for admission, one must meet the eligibility standards and have all of the relevant documentation. Aside from academic qualifications, applicants must also achieve a good score or band on any English Language proficiency test, such as the IELTS or TOEFL, and may be required to participate in group discussions or personal interviews.
Because most public universities in Germany have rigorous academic criteria, applicants must have a good academic background to be admitted to the best institutions. Summer and winter admissions cycles are common at Germany’s top data science colleges. For the Masters in Data Science in Germany, the acceptable exams differ from one university to the next. Even if all of the standards are not completed, private universities are more likely to admit students, and private colleges are easier to get into than public colleges.
Eligibility Criteria
Candidates seeking admission to German colleges offering master’s degrees in data science must meet all of the following eligibility requirements:
To be eligible for a Masters’s in Data Science in Germany, candidates must have completed their bachelor’s degree with a minimum aggregate of 60 – 80 percent or higher.
A bachelor’s degree in any relevant area, such as statistics, mathematics, computer science, or economics, must be obtained from a recognized university.
Candidates must additionally pass an entrance exam such as the GRE or GMAT with a score of 500, as well as a valid score on an English Proficiency Test such as the TOEFL or IELTS with a score of 6.5 to 8.
One must also meet the document criteria and have all relevant documents on hand, such as a letter of recommendation, a VISA, a passport, bank statements, and so on.
Some of Germany’s best master’s colleges may require work experience in a related profession in addition to a master’s degree in data science.
Name of the College/ Universityllege/ University
Elig Eligibility Criteriaibility Criteria
Adm Admission procedureission procedure
Free University of Berlin
Undergraduate Degree Certificate
Letter of recommendation
University of Mannheim
Bachelor’s degree in a relevant field
UG with a minimum of 48 ECTS points in the field of mathematics, informatics, and statistics
Technical University Of Dortmund
B.Sc. in Statistics, Mathematics, Computer Science, or related fields
Merit-based
RWTH Aachen
Bachelors in STEM field
Work experience is preferred
University Of Magdeburg
Bachelor in Computer Science or related field.
66-80%
Technical University Of Munich
Bachelors in stats/informatics/ related discipline
Entrance assessment for master’s program
Ludwig Maximilian University of Munich
Bachelor’s degree in a relevant field
Academic excellence, official test scores
Requirements
International students who wish to study abroad must submit a variety of documentation with their applications. Before applying to any master’s program, it is necessary to have a thorough understanding of the documentation requirements for admission.
For your convenience, some of the required documentation for pursuing a Master in Data Science in Germany are listed below:
Certificates/mark sheets/academic documents from prior universities are included in the transcript.
Language proficiency must be demonstrated.
a referral letter
papers related to health insurance
Experiential Learning
You may be asked to provide additional documentation by some universities. These can be SOPs, CVs, and so on.
Germany Study Visa
A Germany Pursue Visa is required for anyone wishing to study Masters in Data Science in Germany. The Germany study visa is originally valid for three months, however, it can be renewed for another six months once you arrive. The processing of the Visa can take anywhere from 25 days to 3 months, depending on the country and the German consulate, thus candidates should apply for a German study visa before 4-5 months.
Students interested in pursuing a Master’s degree in Data Science in Germany should conduct research and have a thorough understanding of how to choose the right college for them, the admissions process, and the necessary documents to bring with them on their journey from their home country to Germany.
Who is eligible to apply?
Anyone who fits the aforementioned conditions and has all of the required documentation can apply for a Germany Study Visa. Candidates who want to study in Germany must meet all of the requirements and have a thorough understanding of how to apply and what documents are required, among other things. The following are some of the most crucial paperwork and other requirements for international students:
Form for applying for a national visa that is completely filled out and signed.
A valid national passport is required.
Certificate of Birth
Photographs were taken recently in the style of a passport
Financial Resources Proof
Proof of Student Health Insurance for University Admission.
Qualification for university admission.
Language Proficiency Certificate in German or English.
a letter of acceptance from a German university
Academic record transcript
Declaration of the genuineness of the papers that have been presented
Proof of not having a criminal record and/or being free of certain diseases may also be required.
Masters in Data Science in Germany Fees
An international student considering pursuing a Masters in Data Science in Germany should be aware of the costs associated with doing so. These costs can be divided into three categories: pre-arrival expenses, study costs, and cost of living in Germany. Although the German government gives financial assistance to exceptional international students through a variety of scholarships and internships, students must prepare ahead of time for their studies in Germany and gain a thorough understanding of the varied costs.
Cost of Study
The average cost of a two-year Master in Data Science program in Germany can range from $250 to $19,201 USD, or INR 21,026 to 14,32,441. The following is a list of the tuition fees or costs of education for Data Science at some of Germany’s leading universities: (USD/year)
University NameUniversity Name
Average Annual Fe Average Annual Feeses
Technical University of Munich, Munich
USD -144
INR -10,737
Ruprecht-Karls-Universität Heidelberg, Heidelberg
USD -382
INR -28,484
Ludwig-Maximilians-Universität München, Munich
USD -287
INR -21,400
Freie Universitaet Berlin, Berlin
USD -8814
INR -6,57,237
Humboldt-Universität zu Berlin, Berlin
USD – INR –
KIT, Karlsruhe Institute of Technology, Karlsruhe
USD -3,330 – 19,210
INR -2,46,072 – 14,32,441
Technische Universität Berlin (TU Berlin), Berlin
USD -13,010
INR -9,70,058
RWTH Aachen University, Aachen
USD -25,629
INR -19,10,962
Albert-Ludwigs-Universität Freiburg, Freiburg im Breisgau
USD -2,886
INR -2,15,187
Eberhard Karls Universität Tübingen, Tübingen
USD -3,330
INR -12,40,000
Masters in Data Science in Germany Scholarships
International scholarships are available in Germany for both graduate and undergraduate students. The various scholarships are awarded depending on the candidates’ performance and eligibility conditions. These scholarships assist students in covering their living and food expenses while in Germany. Aside from that, a number of top Data Science universities in Germany provide a variety of internship possibilities to assist international students financially.
There are a variety of scholarships available to international students in Germany, the majority of which are fully sponsored by government foundations, but some are also granted by non-government organizations. Some of the scholarships also pay the students’ travel expenses. Some of the popular Masters in Data Science in Germany include the DAAD, Heinrich Boll Foundation Scholarships, and RISE Germany.
Germany Work Visa
If one wishes to stay in Germany and work after completing their Masters’s in Data Science in Germany, one must first obtain a Germany Work Visa. Students’ student visas expire when they complete a Master’s in Data Science in Germany; however, after getting a German university degree, they can extend for 6 to 18 months. Candidates interested in working in Germany after completing a Masters in Data Science must apply for a work permit before their visa expires; otherwise, they must return to their home country.
If you want to stay in Germany permanently after completing a Masters in Data Science, you can apply for the EU Blue Card if you match the eligibility conditions. While a German Residence Permit for two years is available, which allows them to work for two years, it can be extended as many times as they choose as long as they retain their working status after completing their Masters’s in Data Science in Germany. Some of the prerequisites for obtaining a work
Proof of completing a Master’s degree in Data Science in Germany (i.e. university degree)
Evidence of medical insurance coverage
Proof of sufficient financial resources to support your living expenses
According to the Common European Framework of References for Languages, proof of sufficient understanding of the German language – level B1 – is necessary (CEFR)
Proof of a work contract in Germany (i.e. working certificate etc.)
Frequently Asked Questions
Q. Is data science in demand in Germany?
Ans. Germany is one of the greatest places to study data science, and demand for data scientists is rising not only in Germany but throughout the world. When it comes to business digitization and data science, Germany is one of the most developed countries. Germany has a significant demand for Data Science and related subjects, as well as a large number of job openings. In addition, Germany has a number of renowned colleges that offer master’s degrees in data science.
Q. Which university is best for MS in data science in Germany?
Ans. TUM, or the Technical University of Munich, is regarded as one of Germany’s best master’s programs in data science. QS World University Rankings has it placed 50th among the top universities in the world. The average cost of a master’s degree in data science at the Technical University of Munich in Germany is between INR 10,000 and INR 12,000.
Q. Is data science a good career in Germany?
Ans. Yes, in Germany, a master’s degree in data science is regarded as one of the top career alternatives in terms of scope, salary, and job prospects. Following the MS in Data Science competition in Germany, one may easily advance their career as a Data scientist, Data analyst, Data engineer, and so on, and find lucrative and well-paid employment prospects in top-tier MNCs such as Accenture, IBM, Oracle, Bank of America, Walmart, Apple, and so on.
Q. Is MS in Germany free?
Ans. In Germany, master’s degrees are free at public universities. Pursuing a master’s degree in any field in Germany can be free at state schools/universities, however, the average tuition expenses for a master’s degree in Germany at private colleges can range from INR 2,00,000 to INR 14,00,000. In Germany, the majority of public colleges offer a variety of data science courses at extremely cheap or no cost.
Q. Is Germany good for Indian students?
Ans. Germany is well-known as a haven for international students seeking higher education, and it is one of the top countries for Indian students seeking master’s degrees. Germany is home to some of the world’s best universities. Top German universities provide high-quality education, excellent facilities, highly skilled and experienced teachers, and excellent job chances. Germany is one of the best places to study in the world. In Germany, there are various universities that offer data science courses.
Q. How can I do MS in Data Science in Germany?
Ans Candidates interested in pursuing a Masters in Data Science in Germany must first locate and investigate a suitable college, as well as meet the course’s qualifying requirements. A bachelor’s degree in a related field of science, such as mathematics, computer science, or economics, is required. Aside from academic qualifications, applicants must pass any entrance exam such as the GRE or GMAT, as well as have a valid score on any English language test (IELTS, TOEFL, etc.). In addition, all necessary documents must be present, such as a VISA, passport, letter of recommendation, and so on.
Q. Is it compulsory to know German to study in Germany?
Ans. No, knowing German is not required to study in Germany. Candidates interested in pursuing a master’s degree in data science in Germany are not required to learn German, but they must be fluent in English. Students must also have a valid score or band on any English Language Proficiency Test (IELTS, TOEFL, etc.). In IELTS, a score of 6.5 is required, whereas, in TOEFL, a score of 70 to 80 is required.
Q. How many years is MS in Data Science in Germany?
Ans. Master in Data Science in Germany is a 1.5 to the 2-year program offered by Germany’s most prominent, prestigious, and top MS in Data Science universities. In Germany, a master’s degree in data science focuses on machine learning concepts, understanding hidden patterns in raw data, and segmentation. The majority of data science courses in Germany (MS in Germany) are typically offered over a two-year period.
Q. Is Germany expensive for Indian students?
Ans No, studying in Germany is not prohibitively expensive for Indian students. Data science courses in Germany are available at very little or no cost at the best master’s colleges in Germany. Several scholarships are available to Indian and other international students at public colleges that are among Germany’s top MS Data Science colleges. To study in Germany, students only need to fund their food and living expenses.
Q. Which are the top 10 MS in Data Science in Germany colleges?
Ans. Some of the colleges which are ranked among the top 10 MS in Data Science in Germany are listed below:
Technical University of Munich, Munich
Ruprecht-Karls-Universität Heidelberg, Heidelberg
Ludwig-Maximilians-Universität München, Munich
Freie Universitaet Berlin, Berlin
Humboldt-Universität zu Berlin, Berlin
KIT, Karlsruhe Institute of Technology, Karlsruhe
Technische Universität Berlin (TU Berlin), Berlin
RWTH Aachen University, Aachen
Albert-Ludwigs-Universität Freiburg, Freiburg im Breisgau
