Overview
The M.S. in Data Science at Mercyhurst University is designed to equip students with the necessary skills to excel in a rapidly evolving field. As organisations increasingly rely on data to inform their decisions, the demand for qualified data scientists continues to surge. This programme integrates theoretical frameworks with practical applications, ensuring that students are adept in the latest technologies and methodologies used in data science.
Why Data Science at Mercyhurst University?Mercyhurst University is renowned for its commitment to academic excellence and innovation. The M.S. in Data Science programme benefits from high-tech facilities, including the Federal Resources Corporation Cyber Education Center, which provides students with access to cutting-edge resources. The university's strong partnerships with industry leaders enhance the learning experience, allowing students to engage in real-world projects and research initiatives.
Tuition Fee BreakdownThe tuition fees for the M.S. in Data Science are structured as follows:
- International Fee: USD 1,026 per credit
- National Fee: USD 1,026 per credit
- Local Fee: USD 1,026 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is meticulously crafted to cover essential areas in data science. Key courses include:
- Databases
- Machine Learning
- Data Visualization
- Big Data Analytics
- Neural Networks
- Natural Language Processing
This comprehensive syllabus ensures that students are well-prepared for various roles in the industry.
Industry DemandThe field of data science is witnessing significant growth, with projections indicating a 31% increase in employment opportunities by 2030. The median annual wage for data scientists was reported at USD 108,020 in May 2023, reflecting the lucrative nature of this profession.
Guaranteed Work ExperienceStudents in the M.S. in Data Science programme have the opportunity to engage in practical experiences through the Innovation Entente Lab (IEL), where they can apply classroom knowledge to real-world challenges, enhancing their employability.
Careers with Data ScienceGraduates of the M.S. in Data Science programme are highly sought after in the job market. They can pursue careers as:
- Data Analysts
- Business Analysts
- Data Engineers
- Machine Learning Engineers
- Data Scientists
Alumni have found success in prominent organisations such as Facebook, Amazon, UPMC, and Abbott Labs, illustrating the programme's effectiveness in preparing students for high-demand roles in various sectors.
Programme Structure
Courses include:
- Data Mining and Predictive Analytics
- Statistical Analysis and Data Visualization
- Machine Learning and Deep Learning
- Big Data Technologies and Analysis
- Data Ethics and Privacy
Key information
Duration
- Full-time
- 21 months
Start dates & application deadlines
- StartingApply anytime.
- Rolling admissions.
Language
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Credits
Delivered
Campus Location
- Erie, United States
Disciplines
Data Science & Big Data View 469 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
- Completion of a bachelor's degree in a related field
- Prerequisite courses or background in mathematics, statistics, or computer science
- Letters of recommendation
Tuition Fees
-
International Applies to you
Applies to youNon-residents23428 USD / year≈ 23428 USD / year - Out-of-State23428 USD / year≈ 23428 USD / year
-
Domestic
Applies to youIn-State23428 USD / year≈ 23428 USD / year
Living costs
Erie
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 Data 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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