MS in Data Analytics
4.3 /5- Public University
Talk to ExpertMS in Data Analytics at University of Illinois Springfield Overview
MS in Data Analytics
at University of Illinois Springfield
Our counselors guided 16 students in securing admission to this course. Know moreThe University of Illinois Springfield is among the popular universities to study MS in Data Analytics from abroad. The duration of the program is 18 to 24 months. The first-year University of Illinois Springfield tuition fees for MS in Data Analytics is around USD 14,317. Students must plan to manage their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. The average estimated cost of living is around USD 10,882.
Applicants must meet the University of Illinois Springfield admission requirements to study the course. They must submit an online application by the course deadline to get into the university.
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹12.70 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Data Analytics
Table of content
- Overview
- Fees
- Curriculum
- Entry Requirements
- Application Process
- Highlights
- Scholarships
MS in Data Analytics at University of Illinois Springfield Fees
MS in Data Analytics
at University of Illinois Springfield
The first-year tuition fee for the MS in Data Analytics at the University of Illinois Springfield is USD 14,317. Moreover, the fee structure for the MS in Data Analytics comprises the first-year tuition fees, supplement charges, facility requirements, and other additional charges offered by the University of Illinois Springfield.
Apart from the tuition cost and university charges, students should also keep in mind the extra expenses to stay at the university or any nearby accommodation. They are required to manage the finances for various factors like rent, food, transportation, utility, and other personal expenses, which can vary as per the individual, however, the average cost of living is USD 10,882.
Check the detailed information on the University of Illinois Springfield MS in Data Analytics on the fee breakup, from the table below.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 12,70,347 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 9,65,560 |
| Insurance | INR 2,54,211 |
Calculated at the exchange rate of 1 USD = INR 88.73 | Tuition & expenses were last updated on 19ᵗʰ December 2024MS in Data Analytics at University of Illinois Springfield Curriculum
MS in Data Analytics
at University of Illinois Springfield
For detailed information regarding the MS in Data Analytics program at MS in Data Analytics, click on the green button below. The curriculum PDF provides all important information students may need to know related to the course including subjects taught, available electives and other course-related content. The PDF also provides a semester-wise breakup of the overall course structure.
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MS in Data Analytics at University of Illinois Springfield Entry Requirements
MS in Data Analytics
at University of Illinois Springfield
Requirements for 12th grade
- No specific cutoff mentioned
Graduation
- CGPA - 3/4
- Read less
- Applicants must have completed a Bachelor's degree with a minimum undergraduate GPA of 3.0 on a 4.0 scale
- Applicant must have completed all prerequisite courses with a grade B- or better
- Prerequisites:
- Computer Programming Concepts I
- Computer Programming Concepts II
- Discrete Structures
- Data Structures and Algorithms
- Matrix Analysis and Numerical Optimization or Linear Algebra
- Calculus I or Business Calculus
- Applied Statistics
- Students must have completed a course in data structures and algorithms to be considered for admission to the master’s degree program
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3 year degree accepted
- N/A
- 3 years degree may be considered if students have any of the following:
- 3 year Bachelor's Degree + 2 year Master's Degree
- 3 year Bachelor's Degree + 1-2 Post Graduate Diploma
- 3 years degree may be considered if students have any of the following:
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Convert your CGPA to GPA
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CGPA
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TOEFL
- Marks - 79/120
-
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PTE
- Marks - 50/90
- NA
IELTS
- Marks - 6/9
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Duolingo
- Marks - 105/160
- NA
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MS in Data Analytics at University of Illinois Springfield Application Process
MS in Data Analytics
at University of Illinois Springfield
Step one
Additional documents required
- College Record
- College Transcript
- Consolidated Statement of Marksheets
- Exam or Pass Certificates that do not indicate the award of the degree
- English Language Proficiency scores
- Writing Sample: a statement of 250-650 words is required for admission
- Personal & Academic Statement
Step two
Start your online application
Step three
Application fees for this course
USD 75 = INR 6.65 Thousand
Mode of payment: Credit card, Wire money transfer
- The University of Illinois provides an optional Payment Plan that allows students/authorized payers to spread the payment of anticipated tuition, mandatory fees, room, and board expenses over 6, 5, 4, 3, and 2* (*33% payment of the student account balance required at the time of enrollment for the 2-month plan. This plan is not available for Fall intake) installments for the Fall and Spring semesters
- $40 per semester is the non-refundable enrollment fee
University of Illinois SpringfieldStudents Ratings & Reviews
4.3/5
8 Verified ReviewsVibe of Campus
- Friendly
- Academically oriented
- Fun loving
- Easy going
Student Views
- 56% students never faced discrimination in this university
Internships4.1
Part time work3.8
Post study jobs4.1
Quality of faculty4.6
Student Life4.6
Value for money4.8
Public transportation4.8
Safety4.8
Indian Food3.9
Permanent Immigration4.1
A
Anonymous
Master of Science in Management Information Systems - Batch of 2025
Offered by University of Illinois Springfield
5
A home for growth and learning.
Tips: The transition was smooth but came with a cultural shift, more independence and diversity. I received a merit-based scholarship through academic performance, which covered part of my tuition. I spend my day attending classes, working on group projects, and hanging out with friends. I enjoy the vibrant campus life the most. Our college hosts fests, workshops, and cultural events regularly. I'm active in clubs like dance, debate, and entrepreneurship.
Dislikes (Safety): The faculty in our college is highly approachable and supportive, often going beyond scheduled office hours to assist students with academic and career-related concerns. Their mentorship creates a welcoming and collaborative and pleasant atmosphere.
Reviewed on 24 May 2025Read more
A
Anonymous
M.S. in Computer Science - Batch of 2024
Offered by University of Illinois Springfield
4.5
Empowered by innovation and mostly practical learning.
Tips: My Friends helped me with the transition and the loneliness. There was definitely a cultural shock, but it was manageable and easy going. People here are really kind, helpful, and friendly. I didn't get any scholarship. Pretty good.
Likes (Part time work): We have various departments for on-campus jobs. The pay and flexibility are really good. Off-campus, we don't have many opportunities. Working on campus and along with our academics is highly manageable. It is really flexible, and the university does not give you work hours during your classes. The average pay at our university is $16 per hour.
Dislikes (Indian Food): Here we have American, Mexican, Chinese, and three Indian restaurants. Prices are reasonable. I really find it difficult to find vegetarian cuisine, but we have vegan options as well. Just be careful while ordering the food. I prefer both, but I prefer cooking mostly.
Reviewed on 20 May 2025Read more
A
Anonymous
M.S. in Computer Science - Batch of 2025
Offered by University of Illinois Springfield
3.5
Good university, easy and engaging curriculum and a vibrant student life.
Tips: There are different GA/GPSI positions available. Students should apply with their application. Students should also apply directly to the college site. The GRE is not required. Courses are not hard. Students have full flexibility in choosing the courses that interest them. The curriculum in computer science and data analytics is not tough and engaging. All of this makes this university pretty inexpensive and excellent to pursue a degree.
Reviewed on 17 May 2025Read more
A
Anonymous
MS in Data Analytics - Batch of 2025
Offered by University of Illinois Springfield
5
A transformative and rewarding journey at UIS.
Tips: UIS offers strong academics and a supportive environment. I experienced a positive cultural shift with open class discussions and diverse peers. I received a graduate assistantship covering partial tuition and a stipend. The University of Illinois Springfield offers a vibrant and welcoming environment that balances academics with social engagement. My typical day involves attending classes, working on group projects, and spending time at the library or student union. Outside academics, I enjoy interacting with peers from diverse backgrounds, which has helped me build lasting friendships and expand my perspectives. What I enjoy most is the sense of community on campus—whether it’s casual meetups or cultural celebrations, there’s always something happening that brings students together. The university organises a variety of events throughout the semester, including cultural festivals, tech talks, career fairs, and recreational activities. I try to participate regularly, especially in professional development events and international student gatherings. These not only make college life enjoyable but also contribute to personal growth. The campus also has several active student clubs and communities, such as the Data Analytics Club, International Student Organisation, Computer Science Club, and cultural groups representing different countries. These clubs host workshops, networking sessions, and fun activities, providing students with opportunities to connect, learn, and lead. Overall, I'm very satisfied with the university, course, and life in the U.S.—it’s been a rewarding experience overall.
Dislikes (Public transportation): The Data Analytics program at the University of Illinois Springfield offers an excellent academic experience. The professors are highly knowledgeable, combining strong academic backgrounds with practical industry experience, making the coursework both relevant and engaging. They are approachable, responsive to emails, and available during office hours, often going the extra mile to support students with academic or career-related queries. What makes the teaching methodology unique is the strong emphasis on hands-on learning; most courses involve real-world datasets, practical case studies, and projects using tools like Python, R, SQL, and Tableau. This practical approach helps bridge the gap between theory and real-world application, preparing us well for industry roles. Additionally, there’s a collaborative learning environment where professors encourage critical thinking and problem-solving. The faculty is also quite diverse in terms of nationality and cultural background, bringing a variety of global perspectives into the classroom. This diversity enriches discussions and provides a more inclusive academic environment.
Reviewed on 20 May 2025Read more
A
Anonymous
M.S. in Computer Science - Batch of 2025
Offered by University of Illinois Springfield
3.5
Supportive faculty with great learning and growth opportunities.
Tips: Students should know that the college offers a supportive environment with a strong academic focus, but it requires consistent effort and time management. I experienced a cultural shift in terms of teaching methods and peer interactions, but gradually adapted.
Dislikes (Internships): The faculty members are very approachable. We can easily contact them, and they are very friendly to discuss doubts. They also encourage us to participate in events and activities held on campus.
Reviewed on 21 May 2025Read more
View All 9 Reviews
MS in Data Analytics at University of Illinois Springfield Highlights
MS in Data Analytics
at University of Illinois Springfield
- The Data Analytics program may, at its own discretion, accept new students in the summer semester, and consider accepting students under conditional admission, thereby allowing students to take classes at UIS to complete the program’s entrance requirements
- Students learn how to tackle real-world problems through public datasets that are made available by governmental and non-governmental organizations at the state, national, and international levels
- Students are assigned a cluster of virtual machines to store, process, and visualize large datasets. In addition, students get experience with storage and analysis of data in commercial cloud services such as Amazon Web Services
- Students must complete 28 required credit hours and 8 elective credit hours to earn the Data Analytics degree while maintaining a minimum GPA of 3.0 on a scale of 4.0
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MS in Data Analytics at University of Illinois Springfield Scholarships
MS in Data Analytics
at University of Illinois Springfield
Scholarship information is not available. You can apply to non-college specific scholarships available for
USA.
View all 72 scholarships
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About the author
A tech enthusiast, Kartik has graduated with a Bachelor of Computer Application from the IMS Ghaziabad 2023 batch. Kartik loves to learn about Cybersecurity and Cybercrime. Also, his hobbies are such as traveling, trekking, cooking, and more. Moreove...Read Full Bio
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MS in Data Analytics at University of Illinois Springfield Contact Information
MS in Data Analytics
at University of Illinois Springfield
Address
One University Plaza
Springfield, Illinois 62703
Springfield ( Illinois)
Phone
Email
Go to College Website ->