Overview
Why Business Analytics at Fordham University?
The M.S. in Business Analytics at Fordham University’s Gabelli School of Business is strategically positioned in New York City, a global business hub. This AACSB-accredited programme is renowned for its rigorous curriculum and strong industry connections, ensuring students gain relevant skills that are in high demand. With a focus on real-world applications, the programme prepares graduates for lucrative roles in various sectors. Fordham’s faculty comprises industry experts who bring practical insights into the classroom, enhancing the learning experience. The university's commitment to student success is evident through its comprehensive academic and career advising services, which help students navigate their educational journey and career paths effectively.
Tuition Fee Breakdown
The tuition for the M.S. in Business Analytics is USD 2,032 per credit for both international and domestic students. This consistent fee structure allows for straightforward financial planning. Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The M.S. in Business Analytics curriculum is designed to keep pace with the evolving demands of the business landscape. Key components of the syllabus include:- Database Management and SQL
- Machine Learning for Business
- Web Analytics
- Cloud Computing for Analytics
- Blockchain Technology and Application Development
- Digital Forensics
- Computational Finance
- Artificial Intelligence
- Sports Analytics
Students can also choose from four specialised tracks: Artificial Intelligence and Deep Learning, Business Analytics, Programming for Analytics and Data Science, and Statistical Analytics for Business. This flexibility allows students to tailor their education according to their career aspirations.
Industry Demand
As businesses increasingly rely on data-driven insights, the demand for professionals skilled in business analytics continues to rise. Graduates equipped with these skills are well-prepared to meet the challenges of various industries, including finance, healthcare, and technology.
Guaranteed Work Experience
The programme offers opportunities for internships with leading firms and organisations in New York City, providing students with practical experience that enhances their employability. These internships are crucial for applying theoretical knowledge in real-world settings, thereby bridging the gap between education and professional practice.Careers with Business Analytics
Graduates of the M.S. in Business Analytics often secure positions at prestigious firms, leveraging their skills in analytics to drive business success. Alumni have found roles in various sectors, including consulting, finance, and technology, showcasing the versatility of the degree. The strong alumni network at Fordham provides ongoing support and opportunities for mentorship, further enhancing career prospects for new graduates.Programme Structure
Courses include:
- Discrete Information Structures
- Data Structures and Algorithms
- Computer Architecture
- Algorithm Design and Analysis
- Preparing Future Engineering Faculty & Professionals
- Analysis of Algorithms
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
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Language
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Credits
Delivered
Campus Location
- Milwaukee, United States
Disciplines
Information Technology (IT) Computer Sciences Data Science & Big Data View 466 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
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
- An undergraduate major in Computer Science.
- Satisfactory completion of two programming courses (such as COMPSCI 250 and COMPSCI 251); at least 6 additional credits of coursework in CS; and one course in calculus (such as MATH 211 or MATH 231).
- Applicants without sufficient Computer Science background are encouraged to apply to the professional track. Applicants not admitted to the regular track may be offered admission to the professional track instead.
- Proficiency in the English language.
- A minimum cumulative undergraduate grade point average (GPA) of 2.75
- Transcripts
- Reasons Statement
- Letters of Recommendation
- All applicants are required to pay a non-refundable $75 application fee
Tuition Fees
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International Applies to you
Applies to youNon-residents27090 USD / year≈ 27090 USD / year - Out-of-State27090 USD / year≈ 27090 USD / year
-
Domestic
Applies to youIn-State13659 USD / year≈ 13659 USD / year
Living costs
Milwaukee
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 Computer Science.
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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