Overview
Through an industry-aligned curriculum, students will develop the technical and analytical skills necessary to process and analyze complex, large-scale data, build predictive models, and enhance decision-making across various industries.
The Data Analytics program at Benedictine University is ideal for students from diverse academic backgrounds who seek to gain expertise in data analytics methodologies and applications. Graduates will be well-positioned for roles such as data scientist, machine learning engineer, data architect, data analyst, and business intelligence analyst.
Learning Goals for the Master of Science in Data Analytics Program
Graduates of the M.S. in Data Analytics program will:
- Develop advanced programming skills in languages such as Python and R.
- Apply mathematical and statistical techniques fundamental to data analytics.
- Analyze and visualize complex data sets effectively.
- Implement machine learning and data mining techniques in real-world scenarios.
- Design and execute large-scale data analytics projects and communicate findings clearly to diverse audiences.
Programme Structure
Courses include:
- Programming
- Ethics for Data Analytics
- Mathematics for Data Science
- Data Analysis & Visualization
- Machine Learning
- Data Simulation, Bayesian Modeling, and Inference
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
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Applications from international students should be received no later than three months before the term for which the student plans to enroll.
Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- Lisle, United States
Disciplines
Data Analytics View 400 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A graduate admission application and a $40 non-refundable application fee.
- Official transcripts from all previously attended universities/colleges.
- Students wishing to have DASC 5100 waived (likely Mathematics, Computer Science or Data Science undergraduate majors) should email transcripts to the Program Director for approval.
Tuition Fees
-
International Applies to you
Applies to youNon-residents13200 USD / year≈ 13200 USD / year - Out-of-State13200 USD / year≈ 13200 USD / year
-
Domestic
Applies to youIn-State13200 USD / year≈ 13200 USD / year
Living costs
Lisle
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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