About the University of Niagara Falls Canada

Innovation Flows Here.

Officially opening its doors in 2024, the University of Niagara Falls Canada (UNF) is an innovative and digitally oriented institution that prepares graduates for leadership in the digital world. We believe in delivering programs that provide a direct pathway to meaningful careers in high-demand industries. UNF is part of the Global University Systems Canada group of institutions and Global University Systems, an international network of higher education institutions.

Our location

Our campus is located in historic downtown Niagara Falls. Beyond being Canada’s #1 travel destination, Niagara Falls is a small vibrant city that offers up a slice of metropolitan living at a different pace. From world-class dining and entertainment options to luxury shopping and cultural experiences. Our location offers the amenities of a large urban centre within a comfortable, liveable community.

About the faculty and department

As a faculty member in the Master of Arts in Digital Media and Global Communications program, you will have the opportunity to make a meaningful impact not only on the lives of students but also on the advancement of knowledge within the field. By fostering a dynamic learning environment, conducting cutting-edge research, and engaging in academic service activities, you will contribute to the continued success and reputation of the program and inspire the next generation of digital media and communication professionals.

About the position The Master of Arts in Digital Media and Global Communications program invites applications for sessional instructor positions available for the Fall [September] academic term and invites applications from suitably qualified candidates.

Per course rate: $7,200 (paid in installments)

Academic Term: Fall Term ( September 28 - December 13, 2026)

Mode of Delivery: This is a hybrid role. Sessional instructors are required to teach on -site for a minimum of 2 days per week, though this will depend on their teaching schedule.

Course: DMGC 610: Data Analytics in Digital Media

Course Description: Digital media has exploded around the world - web, social and mobile - representing a departure from how things were like in the last century. Analytics can be leveraged to process data, sentiment, buzz, contacts, context, and other aspects of interest in real time, for performance and impact. Imagine a situation like this, your supervisor approaches you with a huge data file and says, “Here are some data about our target audience.

Tell me what I should do.” As a professional in the field of communications, media, and marketing, you will often be required to formulate strategies that create greater value for the organization, but how does one go from data to effective solutions for problems? The objectives of this course are to introduce you to the increasing sources of data, the systematic process of moving from data to knowledge, and the tools for making better data-driven decisions. How can brands use social media monitoring tools to identify opinion leaders and online influencers?





How can advertisers use product usage data to segment consumers by purchasing potential? How can media outlets use audience and Twitter data to improve their content and engagement? How can online content providers and brands use web traffic and social media data to assess their popularity and user sentiment?

And how can companies use market, competitor, and target audience data to make better strategic decisions? This course aims to give you a roadmap to work through these questions.

Duties and Responsibilities

- Attend weekly lecture, review lecture material
- Lecture and teach students in a variety of delivery modes, creating an inclusive learning environment
- Invigilate quizzes, tests & exams, complete grading of quizzes, tests, assignments & exams
- Meet with or respond to students’ inquiries during office hours
- Update material and grades on internal software

The successful candidate will have the following education and experience:

- A Doctorate/Ph.D. in Digital Media, Communications or a related field.
- Teaching experience in data analytics and data-driven decision-making, data visualization and storytelling with data, digital research methods and data interpretation, digital research methods and data interpretation, social media analytics and monitoring tools, digital media ecosystems, consumer segmentation and market analytics, brand analytics and performance measurement and digital media ecosystems.
- Related industry experience and expertise in Digital Marketing, Communications, Brand Marketing etc. to enhance student learning through real life scenarios and case studies.
- Previous teaching experience at the graduate level is a significant asset.
- Curriculum development experience for on-site, online and hybrid delivery.
- Ability to mentor and advise students in their academic and professional endeavors.

The Successful Candidate Will Demonstrate These Competencies

- Highly self-motivated and directed.
- Demonstrates effective prioritization and decision-making in high-pressure environments.
- Capable of handling diverse situations, multiple projects, and rapidly changing priorities.
- Possesses solid presentation and interpersonal skills, influencing others with empathy and political acumen.
- Maintains a professional manner with tact, diplomacy, and discretion when dealing with colleagues and the public.
- Possesses creative problem-solving abilities and exercises sound professional judgment, especially in handling confidential/sensitive matters.
- Displays a strong student-centric and inclusive orientation.
- Maintains flexibility and willingness to work outside regular business hours to meet organizational needs.

Application process Interested candidates are invited to submit an application,



using ONE document that includes a cover letter, resume/curriculum vitae (CV) including evidence of teaching experience and scholarly accomplishments, and teaching portfolio (if applicable), as well as the names of three references. A single PDF document is preferred. Note: file maximum of 5MB per attached upload.

Use of AI Disclosure

University of Niagara Falls Canada (UNF), UNF is committed to a fair and transparent recruitment process. While AI tools assist us in identifying and communicating with candidates, applications are reviewed by our dedicated Talent Acquisition team to ensure a thorough evaluation of all candidates.

We value diversity and strive to create an inclusive environment where all individuals have an equal opportunity to succeed. We comply with all relevant laws and regulations in Ontario and adhere to the highest standards of ethical hiring. We are committed to protecting your personal information and ensuring that all data collected during the recruitment process is handled with the highest level of confidentiality.

Diversity, inclusion, and equity

UNF is strongly committed to equity, diversity, and inclusivity within its community and especially invites applications from all qualified candidates. Racialized persons / persons of color, women, Indigenous / Aboriginal People of North America, persons with disabilities, 2SLGBTQI+ persons, and others who may contribute to the further diversification of ideas are encouraged to apply.

We recognize that applicants may have had obligations outside of work that have negatively impacted their record of achievements (e.g., parental, elder care, and/or medical). You are not required to disclose these obligations in the hiring process. If you choose to do so, UNF will ensure that these obligations do not negatively impact the assessment of your qualifications for the position.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

We will accommodate the needs of the applicants and the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA) throughout all stages of the selection process, please advise [email protected] to ensure your accessibility needs are accommodated through this process. Information received relating to accommodation measures will be addressed confidentially.

We appreciate all applications received; however, only candidates selected for an interview will be contacted.

We are situated on the traditional territory of the Haudenosaunee, Hatiwendaronk and Anishinaabe peoples. We also acknowledge the many other First Nations, Métis, and Inuit peoples who call this region home.

We commit to building relationships based on respect, reciprocity, and reconciliation as we work, learn, and gather on this land. Furthermore, we acknowledge that the Niagara Region is situated on treaty land, and we stand with all Indigenous peoples, past and present, in promoting the wise stewardship of the lands on which we live.

Learn more about the University of Niagara Falls Canada at our website.

📌 Sessional Instructor - Data Analytics in Digital Media (Niagara Falls)
🏢 University of Niagara Falls Canada
📍 Niagara Falls