Registration for Fall 2026 programs and courses is now open. Learn more about the academic programs we are delivering in Fall 2026. If you have any questions about part-time studies, please contact us.
Overview
This program has been renamed Data Analytics (DAS). This change will impact new students only. Students who started the program prior to September 2026 will graduate under the original program name Business Analytics (BAN).
This graduate certificate program will provide you with the skills and analytical tools needed to drive data-informed decision-making across organizations. You will learn to identify and collect relevant data, prepare it for analysis, apply statistical and predictive techniques and communicate insights in clear, actionable formats. Key topics of study cover essential topics such as statistical analysis, programming for analytics, data security and privacy, predictive analytics and leadership in data driven environments.
Embedded throughout the program are topics that address ethical considerations such as fairness, accountability, transparency and the responsible use of AI technologies, ensuring graduates can navigate the rapidly evolving landscape of responsible data and algorithmic decision-making. Graduates of this program will be prepared to support organizations across a wide range of industries, including finance, healthcare, and government, as well as other high-demand sectors relying on data to drive operations, strategy, and decision-making.
Accreditation
Graduates will be eligible to receive the SAS Academic Specialization.
Important Information for New and Returning Students
You can enrol in courses that are part of this program as a declared or undeclared student. Program declaration is the process of identifying the program you plan to complete and graduate with.
Declared Students
Declaring your program helps ensure your academic record accurately reflects your educational goals and supports your academic progression toward a credential.
By declaring your program, you'll be able to:
- Get priority access when enrolling in classes and have the best chance to build your ideal schedule by selecting from a variety of options, which could include day, evening and weekend classes.
- Plan your course schedule with confidence by understanding your program requirements and next steps.
- Access enhanced advising and academic supports tailored to your goals.
- Track your progress and benefit from a smooth path to graduation. Undeclared students without tracked academic progression may experience delays when it comes time to graduate and attend Convocation.
Undeclared Students
If you have not declared a program, Seneca may not know which credential you are working toward. As a result, you may miss out on the important benefits that declared students receive. You can remain undeclared and continue registering for courses if you do not intend to complete a credential and do not require progress tracking, enhanced advising support or Convocation eligibility.
New Students
Declared Students: For details about the program and how to apply as a declared student, please visit Seneca's updated Data Analytics page.
Undeclared Students: Register for courses by visiting the curriculum tab to select your course(s), check out and pay using this website.
Returning Students
Declared Students: Course registration for the Winter 2027 term for the part-time Data Analytics program will move from this website to Seneca's Visual Schedule Builder (VSB) platform. You will be able to build your class schedule when open enrolment begins on Dec. 10, 2026. Watch your email for instructions.
Undeclared Students: Register for courses by visiting the curriculum tab to select your course of interest, check out and pay using this website.
Declare your program today
To declare your program, complete the Program Declaration form on Student Home.
- From Student Home, select the Academic Records tile.
- On the left-hand menu, select Program Related, then select Program Declaration.
Curriculum
Please review "Important Information for New and Returning Students" on the overview tab before registering for courses.
This program has been renamed Data Analytics (DAS). This change will impact new students only. Students who started the program prior to September 2026 will graduate under the original program name Business Analytics (BAN).
This course will introduce the data analytics process and how to apply statistical methods in different phases of the process. Students will learn statistical methods of creation, collection, analysis, validation and visualization of quantitative data to make recommendations for business decisions.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
This course introduces students to the opportunities and challenges related to data in a business environment in terms of identifying data for decision making, collecting, storing, and processing data. This course helps students understand structured and unstructured big data that is available from a variety of sources. The course will cover techniques to obtain data from the web, APIs, and databases in various formats. Students will learn the basics to store, clean, prepare, share, process, and report on this data.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
This course helps students apply data analytics process in real business environments. Modern businesses collect vast amounts of data that are critical for managing the business today and driving innovations for tomorrow. Case studies will be used to prepare students for real world problem solving by developing their ability to recognize the different types of problems, the analytics methodology used, how the analysis was performed using statistical analysis software tools, how the results were interpreted, and how the analysis was translated into a presentation to inform business decisions.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
This course introduces students to programming languages for effective data analysis. Students will learn to design, code and test programs necessary for a statistical programming environment. Data types and control flow will be applied to manipulate data, interpret it and model it to present meaningful output.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
This course uses practical case analysis to provide an overview of methods, processes, architectures, applications and technologies that support data analytics with a focus on data visualization for presenting data in a meaningful way that will help businesses make decisions and take actions.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
This course provides students with leadership and communications skills through the lens of big data and business intelligence to help students solve problems, manage risks and enhance competitive advantage for organizations. Students will gain understanding on how to communicate with other stakeholders to evaluate business needs, and how to communicate the outcomes of the analytics process to guarantee the effective application of its outcomes. Students will also gain people-management, negotiation, and conflict management skills for implementing useful business intelligence solutions, providing guidance for the organization and its partners, and coaching the team on the different kinds of analytics or data modeling. Students will apply strategic frameworks and personal and organizational leadership models to real-life business issues through case studies.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.
This mandatory course for WIL students prepares students to job search for their co-ops/work terms. Students will reflect on their skills, attitudes, and expectations and evaluate and interpret available opportunities in the workplace. Self-marketing techniques using resumes, cover letters, cold-calls, and interviewing will be learned and students will learn the expectations, rules, and regulations that apply in the workplace with regards to social, organizational, ethical, and safety issues while developing an awareness of self-reflective practice.
Ancillary Fees
Ancillary fees will be added at checkout for program-based courses. Fees will vary based on the number of course registrations. Learn more about ancillary fees for part-time studies.