Frankfurt School of Finance & Management
Hesse
,Germany
Program Name
Master of Science in Applied Data Science
Deadline
June 30th, 2023
Overview
View Official pageThere are numerous focus areas and types of masters programs one can pursue through higher education at Frankfurt School of Finance & Management, like machine learning, artificial intelligence, data systems administration, and security. Some education options for an international student in data science at Frankfurt School of Finance & Management include masters in data science, bachelors in data science, boot camps, and short courses.
Course Level | Post Graduation |
Course Duration | 12-14 months |
Average Tuition Fee | INR 15-60 lakhs per year |
Top Job Roles | Data Scientist, Data Analyst, Data Manager, Data Architect, etc. |
Earning a master’s in data science can help one achieve a broad skill set that can be applied to numerous tech-related careers, such as data engineering, data architecture, computer programming, etc. As a student in the MS in Data Science degree program at Frankfurt School of Finance & Management, one can expect to dive into essential concepts in the mentioned areas:
- Applied Statistics
- Database Systems and Data Preparation
- Practical Machine Learning
Subjects Under Masters in Data Science at Frankfurt School of Finance & Management
The syllabus for the Data Science Postgraduate courses will vary as per the specialisation and university/college chosen by an international student. However, certain MS in Data Science subjects are common for most courses. Apart from the final year projects and internship, the common Data Scientist masters program subjects at Frankfurt School of Finance & Management are as follows:
- Statistics
- Coding
- Business Intelligence
- Data Structures
- Mathematics
- Algorithm
- Programming
- Software engineering
- Artificial intelligence
- Machine learning
- Systems architecture
These subjects can be adjusted based on a university curriculum and specialisation.
Scope of MS in Data Science at Frankfurt School of Finance & Management
Being in the list of the hottest courses, MS in Data Science at Frankfurt School of Finance & Management offers immense opportunities for students with various intriguing and growth-oriented job roles.
- The top job roles in the list include Data Scientist, Data Architect, Enterprise Architect, Data Administrator, Data Analyst, etc.
- The top salaried sectors that an international student can explore after pursuing their data scientist masters program at FSFM are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
- After pursuing this course at FSFM, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.
Duration
24 Months
Median Salary
$55,000
Intake
Summer ( July - Sept )
Class Profile
Class Size
30
Average Age
25
Average Work Experience
1 Years
Diversity
North America:
5%Africa:
1%Others:
2%Asia:
10%South America:
2%Germany:
60%Europe:
30%Career Outcomes
Median Earnings After Graduation
$55,000 / year
Prospective Job Roles
Statistician
Research Scientist
Software Engineer
Data Engineer
Data Analyst
Quantitative Analyst
Data Scientist
Business Analyst
Data Architect
Machine Learning Engineer
Top recruiters
Eligibility Criteria
English Proficiency Tests
TOEFL
90
IELTS
7
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Transcript
Academic LOR
Resume
Application Deadlines
Standard Deadline | |
---|---|
Summer | Jun 30, 2023 |
Fees and Funding
Tuition Fees
$17,750 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
The Mastercard Foundation Scholarship
The Goldman Sachs Foundation Scholarship
The Google Anita Borg Scholarship
The Microsoft Research Scholarship
The IBM Watson Scholarship
FAQs
A student can complete Applied Data Science at Frankfurt School of Finance & Management with in 24.
The deadline to submit an admission application for Applied Data Science at Frankfurt School of Finance & Management is Application deadline Summer (Standard Deadline) - date - 30/06/2023
The annual tuition fee to pursue Applied Data Science at Frankfurt School of Finance & Management is EUR 17750.
The Applied Data Science at Frankfurt School of Finance & Management has 4 semesters.
The submission of these scores mainly depends on the type of degree/ course selected at the Frankfurt School of Finance & Management. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Frankfurt School of Finance & Management requirements before submitting a score.
Applied Data Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
If a student fulfils all the eligibility criteria and admission requirements of Frankfurt School of Finance & Management, they can easily pursue Applied Data Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
An MS degree at Frankfurt School of Finance & Management can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Frankfurt School of Finance & Management website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at Frankfurt School of Finance & Management by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.
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