Brandeis University is seeking to develop a new Online Master of Science in Data Science program that equips learners with advanced analytical, computational, and strategic skills to solve real-world problems across industries.
Requirements
- Master’s degree or higher in Statistics, Data Science, Computer Science, Applied Mathematics, or a related field.
- Experience in higher education program development, curriculum design, or instructional design—preferably in an online format.
- Deep understanding of data science industry trends, workforce demands, and applied analytics across sectors.
- Proven ability to conduct market research and translate findings into actionable program strategies.
- Experience with statistical modeling, machine learning, data visualization, cloud computing, and ethical AI.
- Knowledge of accreditation standards and experiential learning methods.
- Familiarity with online program development and instructional design principles.
Responsibilities
- Conduct a comprehensive market analysis to assess demand for graduate-level data science education.
- Identify emerging roles in AI, machine learning, data engineering, and analytics across sectors such as healthcare, finance, government, and tech.
- Collaborate with faculty, instructional designers, and industry experts to develop a modular, outcomes-driven curriculum.
- Integrate core topics such as statistical modeling, machine learning, data visualization, cloud computing, and ethical AI.
- Ensure alignment with accreditation standards and incorporate experiential learning and capstone components.
- Map course objectives to workforce competencies and employer expectations.
- Develop a clear implementation roadmap, with milestones for curriculum development, faculty onboarding, and program launch.
Other
- Strong communication, project management, and organizational skills.
- Experience managing budgets and working with advisory councils is a plus.
- Master’s degree or higher in a related field.
- Ability to work in a part-time term position with flexible hours.
- Commitment to diversity, equity, and inclusion, and ability to work in an equal opportunity environment.
