Data Science and Analytics MSA, concentration in Big Data and Machine Learning

2 Years On Campus Bachelors Program

Georgia State University

Program Overview

The Master of Science in Analytics (M.S.A.) with a concentration in Big Data and Machine Learning at Georgia State University is designed to develop advanced skills in data science, machine learning, and the analysis of large and complex datasets. This three-semester programme combines computer science, statistical methodologies, and practical applications to prepare students for data-driven roles across a range of industries.

Curriculum Structure

Semester 1: Foundations of Data Science

Students develop a foundation in data analysis, statistical methods, and data visualisation. The programme introduces the analytical techniques and computational approaches needed to work with complex datasets and interpret data effectively.

Semester 2: Advanced Data Science and Machine Learning

Students build advanced capabilities in machine learning, predictive analytics, and big data technologies. They learn to apply computational and statistical techniques to practical problems while considering the ethical and legal responsibilities associated with data management.

Semester 3: Practical Application and Project Work

Students apply their knowledge through practical experiences, including an internship, a faculty-supervised big-data and machine-learning project, or data science sprints involving interdisciplinary collaboration. These activities help develop problem-solving, teamwork, and communication skills.

Note: The university describes the programme as a three-semester course but does not provide a clearly sequenced semester-by-semester list of individual module titles on the programme page.

Focus Areas

Big Data Analytics, Machine Learning, Data Science, Statistical Analysis, Predictive Analytics, Data Visualisation, Data Management, Information Retrieval, Ethical Data Management

Learning Outcomes

Analyse and interpret complex datasets, apply advanced statistical and machine-learning techniques, use computational tools for large-scale data analysis, develop data-driven solutions, communicate analytical findings effectively, collaborate with multidisciplinary teams, apply ethical standards in data management and analysis.

Professional Alignment (Accreditation)

The programme is offered through the Department of Computer Science within Georgia State University's College of Arts and Sciences. It develops professional skills in statistical analysis, machine learning, big data technologies, data visualisation, and ethical data practices. Students can gain practical experience through internships, faculty-supervised projects, or interdisciplinary data science activities. The university does not list a separate external professional accreditation for this programme.

Reputation (Employability Rankings)

The programme prepares graduates for opportunities in technology companies and startups, healthcare and pharmaceutical organisations, government agencies, research institutions, payment-processing companies, consulting firms, and e-commerce businesses. Relevant career paths include Data Scientist, Machine Learning Engineer, Data Analyst, Big Data Engineer, and Business Intelligence Analyst. The official programme page does not publish a programme-specific graduate employment rate, salary report, or QS/Guardian subject ranking.

Experiential Learning (Research, Projects, Internships etc.)

At Georgia State University, the MS in Data Science and Analytics program is designed to provide students with hands-on experience that is crucial for success in the rapidly evolving fields of Big Data and Machine Learning. 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 graduates are not only knowledgeable but also equipped with the skills needed to tackle real-world challenges.

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

- Collaborative Projects: Students work on group projects that simulate real-world data challenges, allowing them to apply theoretical knowledge in practical settings.
- Internship Opportunities: The program encourages internships with industry partners, providing students with valuable work experience and networking opportunities.
- Advanced Software Tools: Students gain proficiency in industry-standard software such as Python, R, SQL, and Tableau, which are essential for data analysis and visualization.
- Research Laboratories: Access to dedicated research labs equipped with the latest technology enables students to conduct experiments and develop innovative solutions.
- Data Science Institute: The university's Data Science Institute offers resources, workshops, and seminars that enhance learning and provide insights into current industry trends.
- Field Trips: Students have opportunities to visit local tech companies and data-driven organizations, gaining insights into how data science is applied in various sectors.
- Library Resources: The university libraries provide extensive resources, including access to databases, journals, and books specifically related to data science and analytics.

These experiential learning components are designed to ensure that you not only learn the theory but also gain the practical skills that employers are looking for. If you're ready to take the next step in your education and career, consider applying to the MS in Data Science and Analytics program at Georgia State University.

Progression & Future Opportunities

Pursuing an MS in Data Science and Analytics with a focus on Big Data and Machine Learning at Georgia State University opens the door to a wealth of career opportunities. Graduates from this program are well-prepared for roles such as Data Scientist, Machine Learning Engineer, and Business Intelligence Analyst. The demand for skilled professionals in these areas continues to grow, making this degree a valuable asset in today’s job market.

Here’s how Georgia State University supports your journey toward a successful career:

- Career Services: The university offers dedicated career counseling, resume workshops, and interview preparation to help you stand out to employers.
- Employment Statistics: Over 90% of graduates from the College of Arts and Sciences find employment within six months of graduation, with starting salaries averaging around $85,000.
- University–Industry Partnerships: Georgia State has established partnerships with leading companies such as AT&T, Delta Air Lines, and Coca-Cola, providing students with internship opportunities and real-world projects.
- 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 have gone on to work at top tech firms and financial institutions, showcasing the program's effectiveness in preparing students for high-demand roles.

Further Academic Progression: After completing your MS in Data Science and Analytics, 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 higher-level roles in industry, allowing you to contribute to innovative projects and lead teams in cutting-edge data initiatives.

With the right education and support from Georgia State University, you can confidently embark on a rewarding career in data science and analytics.