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Applied Data Science

TED University

Master
18 months
Duration
5333 USD/year
Unknown
Tuition fee
Unknown
Apply date
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Start date

About

Being recognized at a great pace from the beginning of 2000s, the concept of data science, the aim of which is to extend the application range of statistics, has become one of the most needed professional branches of the century in recent years. Learn more in the Applied Data Science programme at TED University.

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Overview

Data performs a duty of clarifying mechanisms which are not yet well understood or acting as an important instrument in trend analysis. Especially, together with the design of a powerful experiment, it is the basic factor in the emergence of relations and interactions between objects/concepts in social sciences; in the formation of an hypothesis by taking the shape of the results of experiments in natural sciences; in risk assessment, formation of foresight concerning the future, understanding the mechanisms in cause and effect relations by measuring the results appearing as a consequence of the followed up policies in industry/finance/marketing sectors.

Together with the understanding of the importance of data, collection of data presents an indispensable source for most of the sectors for the purposes of work planning, policy-making, realization of foresight, understanding and explaining the existing situation. The optimum usage of the existing source, on the other hand, depends on the richness and deduction power of the statistical and mathematical methods. The design of the experiment that will lead the problem to be solved to the solution, the formation of the data by specifying its source and the calculation of the parameters of the model through statistical methods, availability to do the calculations about the suitability of the aforementioned model, compilation of the data depending on its size necessitate the usage of computers in calculation stages. For that reason, the field of data analysis requires the blending of the statistical and computer sciences for solving concrete problems.

The developments in data science are due to the gradual increase and proliferation of the technical opportunities concerning the access to and synthesis of data. It is possible even with personal computers to apply all kinds of statistical methods on “large” data collections by means of computers whose calculation capacity develop day by day. By this way the applications of the statistical methods on different subjects become widespread and make it possible to solve real world problems through innovative ways in various disciplines. Besides, the enormous size of the data, which already exists and whose generation process is ongoing, foresees the adaptation to the necessities of the epoch by reviewing the statistical analysis, storage, visualization techniques. Learn more in the Applied Data Science programme at TED University.

Programme Structure

Courses include:

  • Computational Statistics
  • Exploratory Data Analysis
  • Numerical Methods
  • Advanced Statistical Methods
  • Time Series
  • Information Retrieval

Key information

Duration

  • Full-time
    • 18 months

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
79 (required)
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Other requirements

General requirements

Required Documents:

  • Application Form
  • An up-to-date resume,
  • A scanned copy of the transcript from the most recent undergraduate institution,
  • A scanned copy of the ALES score document.

Tuition Fee

  • International

    5333 USD/year
    Tuition Fee
    Based on the original amount of 8000 USD for the full programme and a duration of 18 months.

Funding

Scholarship Opportunities

Scholarships in the range of 25-100% are available on a merit basis.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Applied Data Science Master
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