Computational Data Science (Mathematics), M.Sc. | Indiana University - Purdue University Indianapolis | Indianapolis, United States
12 months
Duration
17248 USD/year
17248 USD/year
6244 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Master of Science degree in Computational Data Science (Mathematics) is a Indiana University - Purdue University Indianapolis degree offered in the Department of Computer and Information Sciences.

Overview

Overview

Data science is a cross between Computer Science and Statistics, and it involves data-driven knowledge discovery in terms of pattern analysis and prediction. You’ll study statistics, regression, sequence analysis, machine learning, data mining, and data analysis (like database systems, information visualization, and “big data” analytics).

Students graduate from this The Master of Science degree in Computational Data Science (Mathematics) at Indiana University - Purdue University Indianapolis ready to enter the workforce in the rapidly advancing field of data science, an interdisciplinary domain that cuts across computer science and statistics. You’ll gain the skills necessary to ensure you are competitive in today’s job market by gaining an understanding of theory, implementation (e.g., algorithms and appropriate computing languages), and the inherent “nature” of different data modalities, such as classification and prediction challenges on specific data (e.g., sparse and/or incomplete data).

Programme Structure

Courses included:

  • Machine Learning
  • Computational Linguistics
  • Cyber Security
  • Data Information
  • Calculus
  • Applied Mathematics
  • Information Science
  • Data Analytics

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Credits

30 SCH

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
3
GRE admission requirements GRE®
Required

Other requirements

General requirements

  • The applicant to the graduate program must have a four-year bachelor’s degree or equivalent. 
  • The applicant’s record should demonstrate strong individual accomplishments, include recommendations from independent references and exhibit outstanding achievement as indicated by the grade point average for each degree over his or her entire academic record. An applicant is expected to have a GPA of at least a 3.0 on a scale of 4.0.
  • GRE required

All applicants should have a background in the following core areas of computer science:

  • software development experience in a high-level language
  • data structures and algorithms
  • systems (operating systems, compilers, and programming languages)
  • theory (discrete math and theory of computation)
  • hardware (computer architecture)

In addition, applicants should have a strong background in mathematics, including calculus, linear algebra, and numerical computations

Tuition Fee

To alway see correct tuition fees
  • International

    17248 USD/year
    Tuition Fee
    Based on the tuition of 8624 USD per semester during 12 months.
  • National

    17248 USD/year
    Tuition Fee
    Based on the tuition of 8624 USD per semester during 12 months.
  • In-State

    6244 USD/year
    Tuition Fee
    Based on the tuition of 3122 USD per semester during 12 months.

Living costs for Indianapolis

1017 - 1926 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

Interested in financing your studies? Find a student loan that works for you.

Financing partner MPOWER Financing Student Loans between $2,001 - $100,000
Financing partner Prodigy Finance Loans for tuition and living costs from $15,000

Funding

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.

Our partners

Computational Data Science (Mathematics)
-
Indiana University - Purdue University Indianapolis
Computational Data Science (Mathematics)
-
Indiana University - Purdue University Indianapolis

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