Overview
Why Applied Data Science at University of San Diego?The University of San Diego's Master of Science in Applied Data Science programme is highly regarded, consistently ranked among the best in its field. It combines cutting-edge curriculum with practical experience, developed in collaboration with industry leaders. This ensures that students gain relevant skills and knowledge applicable to real-world scenarios. The programme is delivered by expert faculty who possess extensive experience in data science, providing students with insights that bridge theory and practice. The university's commitment to student success is evident through its robust support systems and resources tailored for online learners.
Tuition Fee BreakdownThe tuition for the Master of Science in Applied Data Science is set at USD 965 per credit. The total programme consists of 36 credits, resulting in a total tuition of approximately USD 34,740. For candidates who qualify for waivers on prerequisite courses, the total tuition may be reduced to USD 28,950 for 30 credits. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum of the Master of Science in Applied Data Science is meticulously designed to equip students with both theoretical knowledge and practical skills. Key courses include:
- Foundations of Data Science and Data Ethics
- Applied Predictive Modeling
- Applied Data Science for Business
- Capstone Project
This structure allows students to engage deeply with each topic, fostering a comprehensive understanding of data science principles and applications.
Industry DemandThe demand for skilled data scientists is surging across various sectors, including finance, healthcare, cybersecurity, and marketing. The projected growth rate for data scientist employment is 36% from 2023 to 2033, making this an opportune time to enter the field. Graduates of the programme are well-prepared to meet these demands, equipped with the skills to provide valuable insights that drive business decisions.
Careers with Applied Data ScienceGraduates of the Master of Science in Applied Data Science programme find employment in diverse roles across multiple industries. Alumni have successfully secured positions as Data Scientists, Data Analysts, Business Analysts, and specialists in Artificial Intelligence and Machine Learning. The programme's focus on real-world applications ensures that graduates are not only knowledgeable but also capable of making immediate contributions to their employers. Notable alumni have been recognised for their achievements, including those selected for prestigious fellowships, showcasing the programme's effectiveness in preparing students for impactful careers.
Accreditation
WASC is a regional accrediting agency that is recognized by the U.S. Department of Education as certifying institutional eligibility for federal funding in a number of programs, including student access to federal financial aid.
Programme Structure
Courses include:
- Probability and Statistics for Data Science
- Data Science Programming
- Applied Data Mining
- Machine Learning and Deep Learning for Data Science
- Applied Predictive Modeling
- Applied Data Science for Business
- Practical Data Engineering
Of the 30 academic units:
- 6 units focus on introductory topics and fundamentals
- 20 units cover technical aspects essential to the field of data science
- 4 units are dedicated to the comprehensive Data Science Capstone Project
Audience
Our applied artificial intelligence master’s degree program is ideally suited to those with a background in science, mathematics, engineering, healthcare, statistics, or technology.
Lecturers
The faculty is composed of experienced artificial intelligence instructor-practitioners — real-world experts who work with students to ensure that the learning experience is contextualized for individualized development, while also sharing valuable information and insights regarding careers in AI.
Key information
Duration
- Part-time
- 20 months
Start dates & application deadlines
- Starting
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Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- San Diego, United States
Disciplines
Data Science & Big Data View 195 other Masters in Data Science & Big Data 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
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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
Candidates who possess real-world experience will be best positioned for acceptance into the program.
- Bachelor’s degree in a professional field (STEM) from a regionally accredited institution
- Bachelor’s GPA of 3.0 or higher. Candidates with a GPA between 2.5 and 3.0 can apply, but will be asked to provide a Statement of Purpose. Candidates with a GPA between 2.0 and 2.5 will be required to complete a standardized test such as the GRE or GMAT.
- A Statement of Purpose outlining their overall qualifications for the program
- Curriculum vitae
- Letters of recommendation
- Applicants are asked to submit one letter of support from a current employer. If you are unable to obtain a letter of support from your employer, you are required to submit two letters of reference from professional colleagues, past supervisors, or previous professors.
- Applicants are also required to complete an Applied Data Science Self-Assessment Test in preparation for the program.
Tuition Fees
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International Applies to you
Applies to youNon-residents17370 USD / year≈ 17370 USD / year - Out-of-State17370 USD / year≈ 17370 USD / year
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Domestic
Applies to youIn-State17370 USD / year≈ 17370 USD / year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Applied 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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