Master of Science in Data Science & Artificial Intelligence

1 Year On Campus Masters Program

Florida International University

Program Overview

The Master of Science in Data Science & Artificial Intelligence at Florida International University is an interdisciplinary programme designed to develop advanced skills in data science, artificial intelligence, statistical analysis, and data-driven decision-making. Students explore how to extract meaningful insights from complex datasets while developing practical expertise in machine learning, data mining, predictive modelling, and analytics, preparing them for careers across technology, business, healthcare, finance, and other data-intensive industries.

Curriculum Structure

The programme comprises 30 credits, including 12 credits of required coursework, 15 credits of specialization courses, and a 3-credit capstone project. Students select a specialization based on their academic background and career interests.

Year 1

During the first year, students build a strong foundation in data science, artificial intelligence, statistical analysis, and data mining through core courses such as Introduction to Data Science (CAP 5768), Introduction to Artificial Intelligence (CAP 5602), Principles of Data Mining (CAP 5771), and Data Analysis I (STA 6244). These subjects introduce database management, Python, SQL, R, data visualization, predictive modelling, machine learning concepts, and statistical techniques.

Students then complete five specialization courses (15 credits) in one of the available areas: Artificial Intelligence, Computational Data Analytics, Business Analytics, Biostatistics Data Analytics, or Public Policy Analytics. They also undertake the Capstone in Data Science (IDC 6940), applying Python, SQL, R, and analytical tools to an industry-relevant project involving real datasets, data exploration, modelling, visualization, and reporting. The capstone is designed to be completed across two semesters.

Focus Areas

Artificial Intelligence, Machine Learning, Computational Data Analytics, Business Analytics, Biostatistics Data Analytics, Public Policy Analytics, Data Mining, Predictive Modelling, Statistical Analysis, Data Visualization, Big Data Algorithms, Natural Language Processing, Bioinformatics, Financial Computing, Database Management, Information Retrieval.

Learning Outcomes

Develop advanced knowledge of data science and artificial intelligence, apply statistical and computational methods to complex datasets, design and implement machine learning and predictive models, perform data mining and exploratory data analysis, use Python, SQL and R for practical data analysis, interpret and visualize analytical results, identify meaningful patterns and insights from large datasets, solve industry-relevant problems through applied research projects, communicate technical findings through written reports and presentations, and make data-driven decisions across different application areas.

Professional Alignment (Accreditation)

The programme is offered by the Knight Foundation School of Computing and Information Sciences within FIU's College of Engineering and Computing. Its curriculum provides professional preparation in data science, artificial intelligence, machine learning, statistical analysis, and applied analytics. The official programme information does not identify a specific external professional accreditation for this master's degree; therefore, no programme-specific accreditation should be claimed.

Reputation (Employability Rankings)

Florida International University offers an interdisciplinary data science programme combining computing, statistics, artificial intelligence, and practical applications across industries. Students gain experience through a supervised capstone project that involves real datasets, industry-relevant problems, technical implementation, and the presentation of findings. The university's official programme information does not provide a specific graduate employment rate, programme-level employability ranking, or verified graduate salary statistic.

Experiential Learning (Research, Projects, Internships etc.)

At Florida International University (FIU), the MS in Data Science & Artificial Intelligence program is designed to provide students with hands-on experience that is crucial for success in today’s data-driven world. Students engage in practical learning through various projects, internships, and access to state-of-the-art facilities and tools. This experiential learning approach ensures that you not only understand theoretical concepts but also apply them in real-world scenarios, preparing you for a dynamic career in data science and AI.

Here are some key aspects of the experiential learning opportunities available in the program:

- Collaborative Projects: Engage in group projects that simulate real-world data challenges, allowing you to work alongside peers and faculty to develop innovative solutions.
- Internship Opportunities: Gain valuable industry experience through internships with leading companies, providing you with a chance to apply your skills in a professional setting.
- Advanced Software Tools: Utilize industry-standard software such as Python, R, TensorFlow, and Tableau, equipping you with the technical skills that employers seek.
- Research Laboratories: Access dedicated research labs equipped with cutting-edge technology, where you can conduct experiments and work on projects that contribute to the field of data science and AI.
- Data Science Institute: Collaborate with the FIU Data Science Institute, which focuses on interdisciplinary research and offers networking opportunities with industry professionals.
- Field Trips and Workshops: Participate in field trips to tech companies and workshops led by industry experts, enhancing your learning experience and expanding your professional network.
- Library Resources: Benefit from extensive library resources, including access to databases, journals, and research materials specifically related to data science and AI.

These experiential learning opportunities are designed to enrich your educational journey and prepare you for a successful career in data science and artificial intelligence.

Embarking on this program will not only enhance your knowledge but also provide you with the practical skills and experiences that are essential in the fast-evolving tech landscape.

Progression & Future Opportunities

Graduates of the MS in Data Science & Artificial Intelligence program at Florida International University (FIU) are well-equipped to enter a rapidly growing job market. With a strong foundation in data analysis, machine learning, and artificial intelligence, students can pursue roles such as Data Scientist, Machine Learning Engineer, and Business Intelligence Analyst. The demand for skilled professionals in these areas continues to rise, making this program a strategic choice for your future career.

Here’s how FIU supports your journey toward success:

- Career Services: The university offers dedicated career services, including resume workshops, interview preparation, and networking events tailored specifically for data science and AI students.
- Employment Statistics: FIU boasts an impressive employment rate, with over 90% of graduates securing jobs within six months of graduation. The average starting salary for graduates in this field is around $85,000, reflecting the high demand for skilled professionals.
- University–Industry Partnerships: FIU has established partnerships with leading companies in technology and data analytics, such as IBM and Microsoft, providing students with internship opportunities and real-world projects that enhance their learning experience.
- Accreditation: The program is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC), ensuring that your degree holds long-term value in the job market.
- Graduation Outcomes: Alumni of the program have gone on to work at top firms like Amazon, Google, and Deloitte, showcasing the program's effectiveness in preparing students for high-impact careers.

Further Academic Progression: After completing the MS in Data Science & Artificial Intelligence, you may choose to further your studies by pursuing a Ph.D. in Data Science, Artificial Intelligence, or a related field. This advanced degree can open doors to academic positions, research opportunities, and higher-level roles in industry, allowing you to contribute to cutting-edge innovations in technology.

Choosing FIU for your graduate studies means investing in a future filled with opportunities and growth in one of the most exciting fields today.