Master of Engineering in Big Data Analytics
- Public University
Department of Business Management and Analytics
Talk to ExpertMaster of Engineering in Big Data Analytics at Arcada Overview
International students can pursue Master of Engineering in Big Data Analytics at PG level at Arcada University of Applied Sciences. The duration of the course at the university is 1 year. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as GRE to be eligible for the course. The Arcada University of Applied Sciences tuition fee for international students for Master of Engineering in Big Data Analytics is around EUR 10,000 for first-year. Students must manage additional costs such as
- Rent
- Hostel fees
- Food, books
- supplies
- Utilities, etc.
Duration | 1 year Get Curriculum |
Tuition & Fees | ₹10.24 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Master of Engineering in Big Data Analytics at Arcada Fees
The fee breakup of the Arcada University of Applied Sciences Master of Engineering in Big Data Analytics includes the first-year tuition fee and cost of living. The cost of living will include expenses like rent for accommodation, meals, and other utilities. The first-year tuition fees Master of Engineering in Big Data Analytics is EUR 10,000. Students must note that the total expenses are subject to vary, depending on the additional charges set by the Arcada University of Applied Sciences. Students can check the table given below to know more about Arcada University of Applied Sciences Master of Engineering in Big Data Analytics fee breakup.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 10,23,700 |
Calculated at the exchange rate of 1 Euro = INR 102.37 | Tuition & expenses were last updated on 14ᵗʰ October 2025Master of Engineering in Big Data Analytics at Arcada Curriculum
For a more in-depth look at the Master of Engineering in Big Data Analytics program at Arcada University of Applied Sciences, click the green button below. The curriculum PDF provides a detailed information regarding several key points associated with the program including the total no. of subjects, electives available to students & some other course related content. A semester wise breakdown of the overall course structure is also included as part of the PDF.
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Master of Engineering in Big Data Analytics at Arcada Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
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- To be admitted to this course, the candidate should be having an appropriate UG degree in computer science, natural sciences or information technology or business with minor in IT or CS or any field that is recognized as including enough scientific rigour as well as technical skills, plus at least two years 24 months of working experience acquired after the completion of bachelor degree. There is no requirement of eligibility in the English language to apply to master degree courses
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Out of 10
- No specific cutoff mentioned
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- Quantitative Reasoning: at least 150 points
- Verbal Reasoning: at least 150 points
- Analytical writing: minimum score 4
- Minimum: 24 months
- The student must have a minimum of two years (24 months) of relevant work experience gained after the completion of the bachelor's degree.
- Not mentioned
Master of Engineering in Big Data Analytics at Arcada Highlights
- This programme is intended for people with experience in programming and software development, who are curious about and comfortable with solving data-related problems by applying logical and mathematically inspired methods
- The studies in Big Data Analytics are conducted in a research-oriented environment. Our researchers cover a wide range of interests in analytics and machine learning applications that you as a student or employer can benefit from, when pursuing your own domain applications.
- The programme is arranged so that students rapidly gain a broad understanding of the essential concepts of big data analytics; descriptive and predictive modelling, as well as optimization
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Jan-Magnus Janssonin aukio 1
00560 Helsinki, Finland
Helsinki ( Other - Finland)