This certificate program introduces you to the essential tools, techniques, and approaches needed for a successful career in data science and analytics. Designed for working professionals, the curriculum focuses on collaborative problem-solving for data-driven challenges. You will gain skills in data collection and examination, data visualization, statistical and computational analytics, and presentation.
The program consists of four courses focused on key areas of data science and analytics.
Graduates will be equipped with skills applicable to various sectors, including technology, business start-ups, computer science research, business analysis, human resources, healthcare, and marketing.
Unofficial transcripts, degrees, and Grade Scales from all post-secondary institutions are required for prerequisite assessment and GPA calculation. A GPA Calculation Worksheet and Proof of Prerequisite Completion may also be needed.
Specific fee amounts are not provided on the program page. Information can be found in the Graduate Calendar.
You need a 4-year undergraduate degree with a minimum 3.0 GPA on a 4.0 scale over the past two years of study. You must also have completed undergraduate courses in computer programming, statistics, and calculus or linear algebra with at least a 'B' grade.
English language proficiency requirements are detailed on the Faculty of Science English Language Proficiency (ELP) Requirements page in the Academic Calendar.
The program is designed for expected completion within 4 months and consists of four core courses.
Specific fee amounts are not provided on the program page. Information regarding tuition fees and fee regulations can be found in the Graduate Calendar.
International applicants are advised to apply directly to the Master's Degree program, as specific application instructions for the certificate are not detailed. General application guidance can be found on the University of Calgary's application process information pages.
Graduates can pursue roles in sectors like technology, business start-ups, computer science research, business analysis, human resources, healthcare, and marketing.