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Analytics is an increasingly important skillset utilized in a wide range of occupations and more frequently in Analyst specific positions, and is projected to increase faster than the average growth rate across all occupations from 2018 to 2028.

Employers seeking analytics professionals with 鈥渕oderate鈥� levels of data analysis skills - typically positions at the bachelor鈥檚 level 鈥� most often prefer candidates with Analytics as a field of study. Skills frequently required in candidates are data analysis and the ability to interpret and communicate data analysis results to others, problem solving, mastery of spreadsheets, analysis tools, statistical software, relational databases as well as programming language. The general demand for Teamwork/Collaboration and Project Management reflects the need for employers to find analytics professionals with general business skills which can be used in a variety of function areas.

The Bachelor of Science in Analytics (BSA) helps to meet the demand from employers with an undergraduate program and entry level education requirements that prepares learners as data analyst practitioners capable of applying data analysis methods, technological, professional, and strategic expertise necessary for supporting decision making in organizations. With emphasis on experiential learning, the program provides dynamic opportunities for learners with varying degrees of work experience to practice their knowledge both globally and collaboratively while implementing effective data analysis concepts to real-life company demands.

The BSA has general foundation courses (including mathematical and philosophical logic), specific data analysis foundation courses, major required courses (such as Introduction to Analytics, Predictive Analytics, Introduction to Programming, Data Visualization and Communication, Data Warehousing, SQL and Data Mining), as well as a variety of elective courses on diverse domain areas.

Graduates of the BSA will have the opportunity to demonstrate their range and depth of skill to

Investigate theories, tools, and approaches in data analytics to identify and communicate data-driven insights for informed decision-making.

Articulate and defend the significance and implications of the work in data analytics in terms of challenges and trends in a local, national or global context.

Complete a project that requires the application of the principles, tools and methods of analytics to a comprehensive real-world problem.

Apply the principles, tools and methods of analytics to a project within a sponsoring organization to assist with the extraction, development, delivery, and/or translation/implementation of data analysis for tactical and/or strategic decision-making.