Master of Applied Science in Data Science

1 Years On Campus Masters Program

Illinois Institute of Technology

Program Overview

The Master of Data Science at Illinois Institute of Technology is a professional graduate programme designed to prepare students for data science careers across business, industry and research. Developed collaboratively by the Department of Applied Mathematics and the Department of Computer Science, the programme combines statistical analysis, machine learning, data management, computational methods and practical problem-solving. Full-time students can typically complete the 33-credit degree in one year, including a summer term.

Curriculum Structure

The programme requires 33 credit hours, comprising 15 credits of core courses, 12 credits of electives and a six-credit Data Science Capstone. Students can choose a practicum, research or coursework pathway for their capstone.

Core Curriculum: Students study Mathematical Statistics or Regression, Machine Learning or Statistical Learning, Communicating Science and Data Preparation and Analysis. They also select a course in Advanced Database Organization, Data-Intensive Computing or Big Data Technologies.

Advanced Learning and Specialisation: Students select electives across computational fundamentals, computer science applications, mathematics, probability, statistics and scientific computing. Relevant courses include Data Mining, Deep Learning, Database Organization, Introduction to Time Series, Bayesian Computational Statistics and Cloud Computing.

Final Capstone Project: Students complete six credits through one of three options. The practicum pathway involves working in teams on real-world data science problems for external clients; the research pathway involves a faculty-supervised research project; and the coursework pathway allows students to complete additional application courses or data science electives.

The university also provides a sample curriculum across four semesters, including a summer term. The exact course sequence may vary according to the selected electives and capstone pathway.

Focus Areas

Data Science and Analytics
Statistical Modelling and Analysis
Machine Learning and Statistical Learning
Big Data Technologies
Data Mining and Data Preparation
Database Management and Data Engineering
Artificial Intelligence and Deep Learning
Computational Mathematics
Predictive Analytics
Data Visualisation and Communication
Applied Research and Data Science Projects

Learning Outcomes

Graduates develop the ability to collect, prepare, analyse and interpret complex datasets using statistical and computational techniques. They learn to build machine learning models, apply data mining methods, manage large-scale data systems and communicate analytical findings effectively. The programme also strengthens programming, mathematical modelling, research and problem-solving skills through specialised electives and practical capstone work.

Professional Alignment (Accreditation)

The programme is a professional master's degree jointly supported by the Department of Applied Mathematics and the Department of Computer Science. It provides interdisciplinary preparation for data science roles in business and industry. The official programme catalogue does not specify a separate professional accreditation.

Reputation (Employability Rankings)

Illinois Institute of Technology emphasises the programme's industry-oriented curriculum and practical capstone opportunities. The practicum pathway allows students to work on real-world data science problems for external clients under faculty guidance, while the research pathway supports advanced academic and technical development. The university does not publish a specific programme-level QS or Guardian ranking or a verified employment-rate statistic for this degree.

Experiential Learning (Research, Projects, Internships etc.)

At the Illinois Institute of Technology, the Master of Data Science program is designed to provide students with hands-on experience that is essential for success in the rapidly evolving field of data science. Students engage in practical learning through a combination of collaborative projects, access to cutting-edge technology, and opportunities for real-world application. The program emphasizes experiential learning, ensuring that you not only understand theoretical concepts but also apply them in practical settings.

Here are some key aspects of experiential learning in the Master of Data Science program:

- Collaborative Projects: Work on team-based projects that simulate real-world data challenges, allowing you to develop teamwork and problem-solving skills.
- Internship Opportunities: Gain valuable industry experience through internships with leading companies, enhancing your resume and professional network.
- State-of-the-Art Facilities: Access to advanced computing labs equipped with high-performance servers and software tools essential for data analysis and machine learning.
- Software Proficiency: Learn to use industry-standard software such as Python, R, SQL, and Tableau, which are integral to data science practices.
- Research Laboratories: Engage in research projects within specialized labs that focus on areas like artificial intelligence, machine learning, and big data analytics.
- Field Trips and Industry Visits: Participate in organized visits to tech companies and data-driven organizations to see how data science is applied in various sectors.
- Data Science Institute: Collaborate with faculty and peers at the Data Science Institute, which fosters innovation and research in data science applications.

These experiential learning opportunities are designed to equip you with the skills and knowledge necessary to thrive in the data science field.

Choosing the Master of Data Science at Illinois Institute of Technology means you’re not just learning; you’re actively engaging with the data science community and preparing for a successful career.

Progression & Future Opportunities

The Master of Data Science program at the Illinois Institute of Technology equips graduates with the skills and knowledge needed to excel in a rapidly evolving field. With a strong emphasis on practical experience and industry relevance, graduates often find themselves in high-demand roles such as Data Scientist, Machine Learning Engineer, Data Analyst, and Business Intelligence Analyst.

Here’s how the Illinois Institute of Technology supports your journey toward a successful career in data science:

- Career Services: The university offers dedicated career services, including resume workshops, interview preparation, and networking events with industry professionals to help you secure internships and job placements.
- Employment Statistics: Graduates of the Master of Data Science program have an impressive employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for graduates is around $100,000, reflecting the high demand for skilled data professionals.
- University–Industry Partnerships: Illinois Tech has established partnerships with leading companies such as IBM, Accenture, and Deloitte, providing students with opportunities for internships, collaborative projects, and real-world experience that enhances their learning.
- Accreditation Value: The program is accredited by the Higher Learning Commission, ensuring that your degree holds long-term value and is recognized by employers worldwide.
- Graduation Outcomes: Alumni have gone on to work at top-tier companies and have reported significant career advancement, often moving into leadership roles within a few years of graduation.

Further Academic Progression: After completing the Master of Data Science, you may choose to further your studies by pursuing a Ph.D. in Data Science or a related field. This advanced degree can open doors to academic positions, research opportunities, and specialized roles in data science that require a deeper level of expertise. Additionally, you could explore certifications in specific areas such as machine learning, artificial intelligence, or big data analytics to enhance your skill set and marketability in the job market.

Choosing to study at the Illinois Institute of Technology is a step toward a rewarding career in data science, and I’m excited to see where this journey takes you!