| | This course introduces students to techniques used to collect data from different sources, i.e., social media sources. Students will apply statistical methods to process text data in any natural language with minimum human effort. Students will also apply algorithms in text mining involving correlation, regression, pattern recognition, and knowledge extraction to derive insights about data sources and their potential applications. |
| | This course will introduce students to recent developments in advanced analytics techniques. Predictive analytics encompasses a variety of machine learning techniques that analyse current and historical facts to make predictions about unknown future events. In this course, students will learn how to build a predictor through supervised or unsupervised techniques in a training stage, and will evaluate the predictor performance through a tester stage. |
| | Students explore the ethical and social considerations of privacy in a globally connected work. This course examines the effect of the internet and biometrics on privacy laws, policies, and technology, and the impact to business sectors and individual and corporate rights. Students evaluate the cost of new personal data privacy initiatives and the impact to application domains in the future. |
| | This course will introduce students to recent developments in advanced analytics techniques. Students will learn to use transformations, decision trees, neural networks, and support vector machines to build high performance models. They will also learn bias-variance trade-off and apply it during the model building process. Ensemble methods of bagging and boosting will also be covered to equip students with well-rounded knowledge of the latest developments in Machine Learning. |
| | In this course, students apply knowledge acquired during the program to a project involving actual data in a realistic setting. They will go through different steps of the business analytics process to create business value. Using various techniques like, ways of cleaning-up data, multiple algorithms for analysis and modeling, students will make data-driven decisions to a real business challenge business decisions. |
| | This Work Term Preparation course is designed to empower students with the tools, skills, and strategies needed to navigate the modern job market and achieve long-term career success. Through self-assessment, career exploration, helping students to identify and leverage skills from their existing experiences, students will develop a deep understanding of their personal strengths, values, personality, interests and goals. The course covers essential topics such as crafting professional résumés and cover letters, mastering interview techniques, and building a strong personal brand, including an online presence. Students will learn how to research career pathways, evaluate job market trends, and create actionable career plans tailored to their aspirations. Emphasis is placed on professional communication, networking, workplace readiness, and adapting to diverse organizational cultures. Additionally, the course provides insights into negotiating job offers, managing career transitions, and professional growth. With a focus on lifelong learning and continuous improvement, this course equips students with the confidence and resources to pursue fulfilling careers while remaining adaptable in a dynamic and competitive workforce. Ideal for students preparing to enter the job market or those seeking to refine their career trajectory, this course fosters self-awareness, professional readiness, and strategic career planning. |
