MS in Data Science at Indiana University Bloomington

The interdisciplinary field of Data Science involves creating algorithms and models to extract and analyze hidden patterns via basic information. Since the basics of computer science are primarily utilized here, various universities offer specialized masters in Data Science (MSDS). Indian University Bloomington is one of such universities offering courses in Data Science. 

Chiefly, Indiana University Bloomington is renowned as a prestigious public research university. Identically, the perfect blend of academics and extracurriculars adds to the university’s charms. Moreover, it has the largest campus among the seven other campuses that come under Indiana University.

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Furthermore, being ranked #141 as Best Global Universities by the US News World Ranking lends its credibility as an institution of excellence. In particular, the university is known for its MS in Data Science program that aims to attract aspiring Data Science professionals.

A detailed guide for MS in Data Science at Indiana University Bloomington is provided below.

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About MS in Data Science at Indiana University 

The first thing to remember is that the MS in Data Science at Indiana University Bloomington is a two-year residential program. Moreover, this multidisciplinary course involves computer science, Statistics, Informatics, Engineering, and information science subjects.

In effect, a candidate has the option to pursue four distinct tracks to complete this program.  The tracks offered in the MSDS program are listed below.

• Applied Data Science
• Big Data Systems
• Computational and Analytical
• Managerial Data Science

Due to being an MS in Data Science student, candidates are prepared for a career in many roles. In addition, they can also choose to pursue a Ph.D. after completion from the same institute.

Modules of MS in Data Science at Indiana University 

Furthermore, the modules differ based on the candidate’s track. Accordingly, the modules can be divided as follows:

Applied Data Science Track

For one thing, the candidate receives training in Data Science methods and their applications through this track. Accordingly, the modules covered under this track are:

• Data Mining and Search
• Capstone Project
• Data Management and Engineering
• Electives
• Data Visualization and Storytelling
• Statistical Methods
• Data Science Domain

Big Data Systems Track

This track explains the development and engineering of software systems. Moreover, it specializes in collecting, managing, and mining massive data. To illustrate, some of the modules included are:

• Statistical Methods
• AI and Machine Learning for Engineering
• Big Data, Cloud Computing, and Visualization
• Core Engineering
• Electives

Computational and Analytical Track

This track focuses on the foundational data science methods. As a result, some of its modules include:

• Data Systems Foundation
• Algorithmic Foundation
• Data Analytics Foundation
• Big Data Infrastructure

Managerial Data Science Track

With advanced knowledge in database systems and programming languages, this track focuses on interpersonal and project management skills. So, some of the modules include:

• Statistical Methods
• Machine Learning, Data Mining, and Text Mining
• Data Visualization and Storytelling
• Management in Theory
• Management in Practice
• Capstone Project
• Electives

Admissions

Usually, the MS in Data Science program applications opens on July 1 every year. The candidate has a deadline of February 1, till which they can apply for the program. For priority applications, this deadline is fixed at January 1.

For the application process, the candidate has to fill out the online application by signing up to secure admission. Then the candidate can apply to any graduate or professional programs that the university offers. 

Eligibility

To be eligible for an MS in Data Science at Indiana University Bloomington, a candidate must have:

• A three or four-year bachelor’s degree or equivalent from an accredited institution
• A minimum of 3.0 GPA
• A 100+ score in TOEFL or a 7.0+ score in IELTS

Documents Required

There are some mandatory documents that a candidate has to attach with the online application. Given below is a list of these documents.

• Resume
• Personal Statement
• Letters of Recommendation
• GRE official test scores (optional)
• TOEFL/IELTS/Duolingo scores (for non-native speakers)
• Transcripts

Academic Cycle

The MS in Data Science at Indiana University Bloomington requires a candidate to complete 30 credit hours of graduate-level coursework. After fulfilling this criterion, they are eligible to receive their graduate degree.

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Cost of Attendance

Being a student at Indiana University, Bloomington will incur various costs, ranging from tuition to supplies. To illustrate, below is the breakdown of Indiana University Bloomington Data Science course fees for one semester:

• Tuition fee: USD 25,092
• Books and Supplies: USD 512
• Room and Board: USD 6,263
• Transportation: USD 117
• Personal: USD 1,242

Last Class Profile

The 2021 freshmen class of Indiana University Bloomington had a diverse class with 54% Indiana students and 4% international students. Along with this, there were 28% of students from minorities.

Moreover, the gender-wise distribution was balanced, with 50% males and 50% females joining the institute.

Placements

Post completion of the degree, the MS in Data Science students have various options, with 170+ companies recruiting on-campus. 

In addition as per 2021 university data, 484 companies hired students in full-time and intern roles, and 1086 interviews were conducted. Correspondingly, 3114 career advising appointments were taken at the university.

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