LEADERSHIP AND MANAGEMENT

Master of Leadership & Management

Organizations that define the next decade will be led by people who understand both the human side of leadership and the technological forces reshaping it. This degree puts you at the front of that change.

Overview

Most leadership programs teach you how organizations worked. This one prepares you for how they’re working now — and how to lead them through what’s coming next. Built for working professionals who are already in the room and ready for what comes next.

Program Learning Outcomes

  • Analyze and interpret key concepts, theories, and practices in management and leadership, integrating knowledge from diverse disciplines.
  • Evaluate and apply ethical principles in communication, decision-making, and leadership, fostering integrity and authenticity in organizational settings.
  • Synthesize strategies that promote creativity, adaptability, and change, while effectively navigating conflict and negotiation in diverse organizational environments.
  • Design and conduct rigorous business research, and critically assess organizational behaviors and human resource strategies to enhance team dynamics and performance.
  • Integrate cross-cultural management practices and critical thinking in leadership roles, promoting inclusivity and informed decision-making.

Requirements

The Master of Leadership and Management program is organized into a curriculum of leadership and management courses that stress the core principles and practices as well as new approaches to leading and managing any organization.

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The student must complete a total of twelve courses totaling a minimum of 36 units and then complete a program comprehensive examination or an approved project within seven years of enrollment in the program.

Course List

View Course Descriptions

Data Science/Software Engineering Courses

BUS 602

Essentials of Management

BUS 607

Communication and Ethics

LDR 611

Leading Creativity and Innovation

BUS 612

Leadership - Principles and Practices

PMP 636

Negotiation and Conflict Resolution

BUS 653

Business Research Methods

BUS 659

Organizational Behaviour & Human Resources

LDR 668

Cross-Cultural Management

LDR 669

Critical Thinking and Decision Analysis

LDR 670

Organization Theory, Design, and Change

PMP 671

Building and Managing Project Teams

LDR 676

Advanced Approaches in Leadership

Final Projects

As part of students’ fulfillment of their degree requirements, they are required to assemble and defend a portfolio of work in DS 440 Portfolio Review. The learning outcomes for this are to:

  1. Present, reflect, and iterate on a portfolio of data science challenges and solutions which demonstrate career readiness.
  2. Create a resume that demonstrates career readiness.
  3. Exhibit entry-level readiness by completing tasks related to SQL database management, Phyton data analysis using Pandas, data visualization with Power BI, database manipulation, data analysis, and the creation of insightful visualizations.
  4. Exhibit entry-level career readiness by demonstrating machine learning proficiency, emphasizing regression, classification, interpretation of model parameters, evaluation metrics and the application of algorithms including linear regression, logistic regression, decision trees, random forests, and support vector machines.

Tuition Fees

Tuition:

$800 per term (full-time course load required) or $100 per credit with prior approval only.

Total estimated charges (120 credits, 9 terms):

$7,200
USD
Total charges may vary based on repeated courses, transfer of credit or advanced standing, and/or time to completion.

DEGREE

Bachelor of Science (B.S c.)

FORMAT

Online Full-Time

CREDITS

120

DURATION

3 years