MA in Advanced Analytics – Big Data
- Public University
Talk to ExpertMA in Advanced Analytics – Big Data at SGH Overview
Warsaw School of Economics has been pioneering MA in Advanced Analytics – Big Data at PG level. The program has a duration of 2 years. This particular course is directed towards individuals who seek a higher level of the educational cycle. The program is considered one of the best in the country, which is responsible for the program's excellent quality and honoring.
For the course, applicants must satisfy evaluation based on eligibility criteria among which entrance scores obtained in tests such as IELTS and TOEFL are imperative for attaining admission.
The Warsaw School of Economics tuition fees for the first year to pursue this course is EUR 3,800. Added should be living expenditures, rent, hostel fees, boards, books and supplies, utilities, or any other expense for the course. This complete budgeting plan ensures that the students go through their college life hassle-free.
Duration | 2 years |
Course Level | PG Degree |
Mode of Course | Full Time |
International Students Admission Website | Go to Website  |
Tuition & Fees | ₹3.47 Lakh View full breakup |
Type of University | Public |
Official Career Service Website | Go to Website |
MA in Advanced Analytics – Big Data at SGH Fees
The first-year tuition fees that students are required to pay as per the Warsaw School of Economics MA in Advanced Analytics – Big Data fee structure. The total cost of living at the university is estimated to be EUR 1,372 which includes the costs of housing, food, and other utilities. The total costs may vary based on the expenses of the student and the lifestyle being followed by them. Some additional fees may also be charged by the Warsaw School of Economics during the course duration. The complete fee breakdown of the MA in Advanced Analytics – Big Data is around EUR 3,800 which is shown in the table below.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 3,47,244 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 1,25,373 |
| Insurance | INR 12,885 |
| Transportation | INR 10,966 |
| Total approximate fees | INR 1,49,224 |
Calculated at the exchange rate of 1 Euro = INR 91.38 | Tuition & expenses were last updated on 21ˢᵗ January 2025MA in Advanced Analytics – Big Data at SGH Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Applicants must hold a Bachelor's degree from a recognised institution
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 87/120
-
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Out of 10
- Marks - 6/9
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- ELP waiver:-
- International Baccalaureate Diploma or European Baccalaureate Diploma or another certificate or document confirming secondary school graduation from a school where instruction was conducted in English; OR
- A university graduation diploma or diploma of graduation from a post-graduate programme conducted abroad or in the Republic of Poland by a university where instruction was run in English
- Not mentioned
MA in Advanced Analytics – Big Data at SGH Application Process
- Students can pay their fees in 5 installments per semester by paying 400 EUR in each installment
MA in Advanced Analytics – Big Data at SGH Rankings
MA in Advanced Analytics – Big Data at SGH Highlights
- The second-cycle studies in Advanced Analytics – Big Data at the SGH Warsaw School of Economics provide advanced knowledge and competencies in the area of the extraction and analysis of data from variety of sources
- The graduate of the programme can be employed as a specialist in advanced data analysis in manufacturing companies, banks, insurance and telecommunications companies, public administration and research centres specializing in advanced data analytics
- The studies also prepare students to conduct research and to take up third-cycle studies
MA in Advanced Analytics – Big Data at SGH Scholarships
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MA in Advanced Analytics – Big Data at SGH Contact Information
al. Niepodleglosci 162, 02-554 Warszawa, Poland
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