Overview
Benedictine University stands out as a leader in the field of business education, particularly with its Master of Science (M.S.) in Business Analytics programme. The university is renowned for its commitment to preparing students for the evolving business landscape, integrating advanced technology and analytical skills. The programme is STEM-designated, which enhances its appeal to prospective students interested in the intersection of business and technology.
Key Facts
The university's strong emphasis on practical application, combined with a diverse learning environment, ensures that students are well-equipped to meet the demands of today’s data-driven industries. The Lisle campus offers state-of-the-art facilities and fosters a vibrant academic community, making it an ideal setting for students to engage with peers and faculty. The programme’s curriculum is designed to bridge the gap between business and IT, enabling students to leverage cutting-edge tools for data analysis and decision-making. This unique approach prepares graduates to tackle real-world challenges effectively.
The curriculum of the M.S. in Business Analytics programme encompasses a broad spectrum of topics essential for mastering data analytics in a business context. Key areas of study include:
- Prescriptive Analysis
- Machine Learning
- Predictive Modeling
- Data Visualization
- Leadership
- Organisational Behaviour
Students will engage in practical applications of these concepts through group projects and case studies, enhancing their critical thinking and leadership capabilities.
Careers
Graduates of the M.S. in Business Analytics programme are well-prepared for a variety of dynamic career paths. Potential roles include: - **Data Analyst**: Interpreting data to identify trends that inform strategic decisions across industries. - **Business Intelligence Analyst**: Creating BI solutions to manage and analyse data effectively. - **Business Analytics Consultant**: Assisting organisations in implementing data analytics tools to optimise performance. - **Predictive Modeler**: Developing models to forecast trends and manage risks. - **Data-Driven Management**: Leading teams in data initiatives and providing strategic direction. The demand for skilled professionals in business analytics is on the rise, making this programme an excellent choice for those looking to advance their careers in this critical field. With the ever-increasing reliance on data in business operations, graduates can expect a promising future in various sectors.
Programme Structure
Courses included:
- Prescriptive Analysis
- Machine Learning
- Predictive Modeling
- Data Visualization
- Leadership
- Organizational Behavior
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
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Applications from international students should be received by Benedictine University no later than three months before the term for which the student plans to enroll.
Language
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Credits
Delivered
Campus Location
- Lisle, United States
Disciplines
Business Intelligence Data Science & Big Data View 412 other Masters in Business Intelligence in United StatesWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- $40 non-refundable application fee
- Official transcripts from all universities/colleges attended. Official electronic transcripts can be emailed to e-transcripts@ben.edu
- Official copy of GRE or GMAT test scores or completed test waiver form
- Two letters of reference from individuals familiar with the applicant’s professional or academic work, excluding family or personal friends
- A one- to two-page essay addressing educational and career goals
- Current résumé listing chronological work history
- Personal interview may be required prior to an admission decision
- Students who have completed any foreign postsecondary education (college, university, etc.) are required to submit an official credit evaluation. Students may submit a detailed evaluation from Educational Perspectives at edperspectives.org/benedictine or a course-by-course evaluation from Education Credential Evaluators (ECE) at ece.org.
Tuition Fees
-
International Applies to you
Applies to youNon-residents26400 USD / year≈ 26400 USD / year - Out-of-State26400 USD / year≈ 26400 USD / year
-
Domestic
Applies to youIn-State26400 USD / year≈ 26400 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
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Scholarships Information
Below you will find Master's scholarship opportunities for Business 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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