Diploma in Business Analytics Program offered by Canadian College of Excellence

Diploma in Business Analytics Program
 (12 Month, 52 Weeks) 100% Remote Program

Section 1: Program Overview

1.1 Introduction

The Diploma in Business Analytics program is designed to provide students with comprehensive knowledge and practical skills in the field of business analysis. The program aims to equip students with the necessary tools and techniques to analyze data, interpret results, and make informed business decisions. By focusing on both theory and practical applications, the program prepares students for successful careers in various industries where data-driven insights are crucial for organizational success.

Goals:

• To provide students with a solid foundation in business analytics concepts, tools, and techniques.
• To develop students' analytical thinking and problem-solving skills applicable to real-world business challenges.
• To equip students with hands-on experience through a practicum, enabling them to apply theoretical knowledge to practical scenarios.
• To prepare students for entry-level positions in business analytics or related fields, or for further academic pursuits in the field.
• To foster a deep understanding of ethical considerations and best practices in data analysis and interpretation.

Objectives:

• To introduce students to fundamental concepts in statistics, probability, and data analysis methods.
• To familiarize students with various tools and technologies used in business analytics, such as programming languages (e.g., Python, R), statistical software (e.g., SAS, SPSS), and data visualization tools (e.g., Tableau, Power BI).
• To provide students with hands-on experience in collecting, cleaning, and preprocessing data for analysis.
• To train students in advanced analytical techniques, including predictive modeling, machine learning, and optimization methods.
• To develop students' communication skills to effectively convey insights derived from data analysis to stakeholders.
• To expose students to real-world business cases and projects, allowing them to apply their skills in practical settings.
• To encourage collaboration and teamwork among students through group projects and discussions.
• To offer mentorship and guidance to students in identifying and pursuing their career goals in the field of business analytics.

Intended Learning Outcomes:

Upon completion of the Diploma in Business Analytics program, students should be able to:

• Demonstrate proficiency in using statistical methods and software tools to analyze and interpret data.
• Apply various techniques for data visualization and communicate insights effectively to different stakeholders.
• Design and implement predictive models to forecast trends and make informed business decisions.
• Utilize machine learning algorithms to extract valuable patterns and insights from large datasets.
• Evaluate the ethical implications of data analysis and adhere to best practices in data privacy and security.
• Work collaboratively in multidisciplinary teams to tackle complex business problems using data-driven approaches.
• Execute a practicum project demonstrating the application of business analytics techniques to address a real-world business challenge.
• Prepare and present comprehensive reports and presentations showcasing their analytical findings and recommendations.

Overall, the Diploma in Business Analytics program aims to empower students with the knowledge, skills, and practical experience needed to thrive in the rapidly evolving field of business analytics, contributing to their personal and professional growth in the dynamic business landscape of Dubai and beyond.

1.2 Program Structure and Curriculum

The program consists of 10 courses, each focusing on a specific aspect of business analysis. Total Credits Required: The program typically requires completion of 40 credits, 10 Courses. Each course typically carries a certain number of credits, usually ranging from 4 credits per course. The courses are structured to provide a solid foundation in business analysis principles and techniques, as well as advanced topics such as data analysis, business process modeling, and stakeholder management. The curriculum is designed to align with industry standards and emerging trends, ensuring that students are equipped with the most relevant skills and knowledge.

 

Core Courses: Core courses form the foundation of the program and cover essential topics in business analytics. These courses include core concepts such as:

• Introduction to Business Analytics
• Data Mining and Predictive Analytics
• Data Visualization and Interpretation
• Statistical Analysis for Business
• Business Intelligence and Reporting
• Machine Learning Applications in Business
• Big Data Analytics
• Decision Support Systems

Elective Options: Elective courses allow students to tailor their learning experience according to their interests and career goals. Elective options in a Diploma in Business Analytics program include:

• Marketing Analytics
• Financial Analytics
• Supply Chain Analytics
• Healthcare Analytics
• Social Media Analytics
• Text Analytics

Specialized Tracks or Concentrations: Some programs may offer specialized tracks or concentrations to allow students to focus on a specific area within business analytics. These tracks could include concentrations in:

• Data Science
• Business Intelligence
• Predictive Modeling
• Operations Analytics

Alignment with Industry Standards and Emerging Trends: The curriculum should be regularly updated to align with industry standards and emerging trends in the field of business analytics. This may involve incorporating the latest tools, techniques, and technologies used in the industry, such as:

• Python and R programming languages for data analysis
• SQL and NoSQL databases for data management
• Tableau, Power BI, or other data visualization tools
• Cloud computing platforms for big data analytics (e.g., AWS, Azure, Google Cloud)
• Deep learning and neural networks for advanced analytics

Practicum: The program typically includes a practicum or internship component where students can apply their knowledge and skills in a real-world business environment. This hands-on experience is invaluable for gaining practical insights and building professional connections in the field of business analytics.

Overall, the Diploma in Business Analytics program is structured to provide students with a comprehensive understanding of business analytics concepts and techniques, preparing them for careers in data-driven decision-making roles across various industries. By incorporating industry-relevant curriculum, specialized tracks, and practical experience, the program ensures that graduates are well-equipped to meet the demands of the rapidly evolving field of business analytics, including those specific to the business landscape in Dubai.

1.3 Admission Requirements

To be admitted to the Diploma in Business Analytics program, students must meet minimum admission requirements: The admission requirements are designed to assess the applicant's academic background, professional experience, and potential for success in healthcare management and leadership roles. Below are the outlined admission requirements:

Admission Process: The admission process involves submitting an application form along with academic transcripts, undergoing any required assessments or interviews, and meeting the program's eligibility criteria. Admission decisions are based on the applicant's academic background, relevant experience, and commitment to pursuing a career in healthcare.

 

Educational Qualifications: Applicants should have completed secondary education or its equivalent, such as a high school diploma or an international baccalaureate (IB) diploma.

A strong background in mathematics, science, and computer science may be advantageous for an AI diploma program.

English is the primary language of instruction in Canadian College of Excellence, Dubai, applicants may need to demonstrate proficiency in English through standardized tests such as the TOEFL or IELTS if the English score in high school diploma or its equivalence is below 60%. 

Interview: CCE, Dubai interviews all eligible applicants, before their provincial letter of admission, test applicant academic readiness, academic and technical proficiency, Interest, and passion in the program-subject chosen, communication skills, problem solving and critical thinking skills and ability to collaborate with peer group and Faculty to successfully complete their academic program. 

The admission process aims to identify motivated and qualified candidates who demonstrate the potential to succeed in the program and make meaningful contributions to the healthcare profession.   

 

Section 2: Program Evaluation

2.1 Learning Outcomes

The Diploma in Business Analytics program aims to equip students with the following learning outcomes:

• Understand fundamental concepts, terminologies, and methodologies of business analysis.
• Master techniques for requirements gathering, analysis, and documentation.
• Recognize the role of business analysis in organizational change and decision-making.
• Learn statistical analysis techniques for data-driven decision-making and apply them effectively.
• Utilize data visualization tools to communicate insights and findings clearly.
• Model business processes using BPMN and optimize them for efficiency and effectiveness.
• Implement process improvements to enhance organizational performance.
• Manage requirements throughout the project lifecycle, ensuring alignment with business goals.
• Apply Agile principles and practices to facilitate iterative and incremental delivery.
• Collaborate with cross-functional teams to deliver value-driven solutions.
• Use BI tools to gather, store, analyze, and visualize data for strategic decision support.
• Develop compelling business cases, evaluating feasibility, benefits, costs, and risks of proposed solutions, and present them to stakeholders for approval and funding.

These learning outcomes are aligned with industry needs and reflect current best practices in Business Analytics.

2.2 Curriculum Mapping

The program's courses and learning activities are designed to align with the defined learning outcomes. Each course contributes to the achievement of specific learning outcomes as follows:

Course	Weekly Coverage	Reference Books
Foundations of Business Analysis   Hours: 100 Weeks: 5 Credits: 4	Week 1: Introduction to Business Analysis (20 hours) Week 2: Requirements Gathering Techniques (20 hours) Week 3: Requirements Analysis and Documentation (20 hours) Week 4: Business Analysis Methodologies (20 hours) Week 5: Role of Business Analysis in Organizational Change (20 hours)	"Business Analysis Body of Knowledge (BABOK Guide)" by IIBA (International Institute of Business Analysis)
Data Analysis and Interpretation   Hours: 100 Weeks: 5 Credits: 4	Week 1: Statistical Analysis Techniques (20 hours) Week 2: Data Visualization Tools (20 hours) Week 3: Applying Data Analysis in Business Contexts (20 hours) Week 4: Data-Driven Decision Making (20 hours) Week 5: Case Studies and Practical Applications (20 hours)	"Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking" by Foster Provost and Tom Fawcett
Business Process Modeling   Hours: 100 Weeks: 5 Credits: 4	Week 1: Introduction to BPMN (20 hours) Week 2: Modeling Business Processes (20 hours) Week 3: Analyzing and Optimizing Processes (20 hours) Week 4: Implementing Process Improvements (20 hours) Week 5: Process Simulation and Evaluation (20 hours)	"Business Process Change: A Business Process Management Guide for Managers and Process Professionals" by Paul Harmon and Roger Tregear
Requirements Management   Hours: 100 Weeks: 5 Credits: 4	Week 1: Introduction to Requirements Management (20 hours) Week 2: Prioritizing Requirements (20 hours) Week 3: Tracing Requirements (20 hours) Week 4: Managing Changing Requirements (20 hours) Week 5: Aligning Requirements with Business Goals (20 hours)	"Discovering Requirements: How to Specify Products and Services" by Ian Alexander and Ljerka Beus-Dukic.
Agile Business Analysis   Hours: 100 Weeks: 5 Credits: 4	Week 1: Introduction to Agile Methodology (20 hours) Week 2: Agile Techniques in Business Analysis (20 hours) Week 3: Collaborating with Cross-Functional Teams (20 hours) Week 4: Agile Project Management Tools (20 hours) Week 5: Agile Case Studies and Best Practices (20 hours)	"Agile Business Analysis: Enabling Continuous Improvement of Organizations" by James Robertson and Suzanne Robertson Systems" by W. Curtis Preston.
Business Intelligence and Analytics   Hours: 100 Weeks: 5 Credits: 4	Week 1: Introduction to BI and Analytics (20 hours) Week 2: BI Tools for Data Gathering and Storage (20 hours) Week 3: Data Analysis and Visualization (20 hours) Week 4: Generating Insights and Forecasts (20 hours) Week 5: BI Implementation and Integration (20 hours)	"Competing on Analytics: The New Science of Winning" by Thomas H. Davenport and Jeanne G. Harris
Stakeholder Management   Hours: 100 Weeks: 5 Credits: 4	Week 1: Identifying Stakeholders (20 hours) Week 2: Engaging Stakeholders for Requirements Elicitation (20 hours) Week 3: Building Positive Relationships with Stakeholders (20 hours) Week 4: Managing Stakeholder Expectations (20 hours) Week 5: Resolving Stakeholder Conflicts (20 hours)	"Stakeholder Theory: Concepts and Strategies" by R. Edward Freeman and Andrew C. Wicks
Business Analysis Planning and Monitoring   Hours: 100 Weeks: 5 Credits: 4	Week 1: Developing Business Analysis Plans (20 hours) Week 2: Monitoring and Controlling Analysis Activities (20 hours) Week 3: Risk Management in Business Analysis (20 hours) Week 4: Business Analysis Metrics and KPIs (20 hours) Week 5: Continuous Improvement in Business Analysis (20 hours)	"Effective Business Analysis" by Barbara Carkenord
Business Case Development   Hours: 100 Weeks: 5 Credits: 4	Week 1: Introduction to Business Case Development (20 hours) Week 2: Evaluating Feasibility and Risks (20 hours) Week 3: Cost-Benefit Analysis (20 hours) Week 4: Presenting Business Cases to Stakeholders (20 hours) Week 5: Refining and Finalizing Business Cases (20 hours)	"The Business Case Guide" by Marty J. Schmidt
Internship/Practicum   Hours: 100 Weeks: 5 Credits: 4	Week 1-5: Real-world Database Projects (100 hours) Ongoing: Hands-on Experience and Professional Feedback	No specific book, as this course focuses on applying knowledge to real-world projects.

The curriculum is regularly reviewed and updated to ensure its alignment with the program's goals and industry standards.

2.3 Teaching and Learning Strategies

The program employs a variety of instructional methods and strategies, including lectures, case studies, group projects, and guest lectures from industry experts. These strategies support student engagement, active learning, critical thinking, and practical application of knowledge. Innovative approaches such as simulation exercises and virtual labs enhance the teaching and learning experience.

Teaching and learning strategies employed within the program include:

• Lectures by industry experts to impart theoretical knowledge.
• Case studies and simulations to facilitate critical thinking and practical application.
• Group discussions and collaborative projects to promote active learning and teamwork.
• Workshops and seminars to enhance specific skills and competencies.
• Guest lectures and site visits to provide practical insights and industry perspectives.
• Online resources and technology-enhanced learning platforms for flexible and interactive learning experiences.

These strategies support student engagement, active learning, critical thinking, and practical application of knowledge, ensuring that students are well-prepared to meet the challenges of business management and leadership roles.

2.4 Assessment Methods

Assessment methods used within the program include:

• Assignments and projects that require students to apply theoretical concepts to real-world scenarios.
• Examinations to assess understanding of course material and critical thinking abilities.
• Presentations and case analyses to evaluate communication skills and problem-solving abilities.
• Participation in group discussions, workshops, and seminars to gauge engagement and collaboration.
• Capstone projects and leadership development activities to evaluate the integration of learning outcomes and application in practical settings.

These assessment methods align with the program's learning outcomes and ensure the achievement of desired competencies. Both formative and summative assessments are used to provide ongoing feedback and measure student progress throughout the program. Additionally, external assessments or certifications may be incorporated to validate student learning and enhance program credibility.

Section 3: Faculty and Resources

3.1 Faculty Qualifications

Our faculty members bring a wealth of academic qualifications and industry experience to the Diploma in Business Analytics program. They hold advanced degrees in relevant fields such as business analysis, data science, and business administration. Many of our faculty members are also actively engaged in research, contributing to the latest developments in the field. Additionally, several faculty members hold industry certifications such as Certified Business Analysis Professional (CBAP) and Project Management Professional (PMP).

Qualifications and Expertise:

All faculty members hold advanced degrees in management, business administration, Finance, International business, or related fields from prestigious institutions.

Many faculty members have substantial experience working in leadership roles within healthcare organizations, bringing firsthand knowledge of industry challenges and best practices to the classroom. 

Several faculty members are actively engaged in research and scholarly activities, contributing to the advancement of knowledge in healthcare management and leadership.

The resume detailing the educational qualifications, professional work experience, relevant research and thesis work, laboratory experience are included along with copies of certificates for the following faculty:

• Irana Afroz
• Muhammad Quasem
• Anantha Krishnan Ramajeyam 
• Afrin Sadia Rumana
• Umme Nasima
• Meenakshi Singh
• Farhana Sufyani

Faculty Development and Professional Growth:

The institution is committed to supporting the ongoing professional development of faculty members through various means, including participation in conferences, workshops, and seminars related to healthcare management and leadership.

3.2 Academic Resources

Our institution is equipped with state-of-the-art academic resources to support the Diploma in Business Analytics program. The library offers a vast collection of books, journals, and online resources related to business analysis, data science, and related fields. Students also have access to specialized laboratories equipped with the latest software and tools used in business analytics, such as Tableau, Power BI, and R Studio. Access to relevant databases and online resources is provided, and these resources are regularly evaluated and upgraded to meet the evolving needs of the program.

 

 

The specific academic resources including eLearning/ digital content offered to students are:

• D2L- Brightspace -Learning Management System 
• McGraw Hill Connect
• Pearson Higher Education Online Resource
• eBookshelf-Vitalsource

Library Resources:

The institution's library offers an extensive collection of print and electronic resources, including textbooks, journals, research papers, and databases relevant to healthcare management and leadership. Librarians are available to assist students in navigating resources, conducting literature reviews, and accessing information needed for assignments and projects. Online access to a vast array of electronic journals, databases, and e-books ensures that students have access to the latest research and scholarly literature in the field.

Simulation Laboratories:

While the program may not require specialized laboratories, students have access to computer applications equipped with software tools relevant to healthcare management, statistical analysis, and data visualization. These apps provide students with opportunities to develop technical skills, conduct data analysis, and explore healthcare information systems.

Online Resources:

Students have access to online learning platforms, discussion forums, and virtual classrooms, facilitating asynchronous learning and collaboration with peers and faculty members. The institution subscribes to online platforms and databases specific to healthcare management and leadership, providing students with additional resources for research and professional development.

Regular Evaluation and Upgradation:

Academic resources are regularly evaluated to ensure their relevance, currency, and alignment with program needs and industry standards.

Feedback from students, faculty, and industry partners is solicited to identify areas for improvement and inform decisions regarding resource acquisition and upgrades.

3.3 Student Support Services

Our institution is committed to providing comprehensive student support services to assist students in their academic journey and ensure their success in the Diploma in Business Analytics Program.

 

 

 

 

 

 

Our student support services are designed to promote student success, well-being, and engagement throughout their academic journey. We are committed to providing a supportive and inclusive learning environment where all students can thrive and achieve their goals in healthcare education and practice.

 

Section 4: Continuous Improvement

4.1 Program Evaluation and Feedback Mechanisms

Continuous improvement of the Diploma in Business Analytics program is facilitated through robust feedback mechanisms that gather input from various stakeholders, including students, alumni, faculty, employers, and industry partners.

Feedback Mechanisms:

Student Surveys: Regular surveys are conducted to gather feedback from current students regarding their learning experiences, curriculum satisfaction, and suggestions for improvement.

Alumni Surveys: Alumni are surveyed to assess the program's effectiveness in preparing them for their careers, gathering insights on areas of strength and areas for enhancement.

Faculty Feedback: Faculty members are encouraged to provide feedback on course materials, instructional methods, and overall program effectiveness, fostering a culture of continuous improvement among instructors.

Employer Feedback: Employers of program graduates are surveyed to evaluate the relevance of the curriculum to real-world healthcare management challenges and to identify areas where graduates excel or require additional training.

Advisory Board Input: An Advisory Board consisting of industry professionals and experts provides valuable input on emerging trends, industry needs, and opportunities for program enhancement.

Utilization of Feedback:

• Feedback gathered from these mechanisms is analyzed and synthesized to identify common themes, strengths, and areas for improvement.
• Program administrators, faculty, and relevant stakeholders collaborate to develop action plans aimed at addressing identified areas for improvement.
• Curriculum revisions, instructional enhancements, faculty development initiatives, and resource allocations are informed by the feedback received to ensure ongoing program enhancement and relevance.
• Continuous monitoring and evaluation of implemented changes allow for iterative improvements and adjustments based on further feedback and assessment.

4.2 Quality Enhancement Initiatives

Our institution is committed to continuous improvement and has undertaken several initiatives to enhance the quality of the Diploma in Business Analytics program. Recently, we revised our curriculum to include the latest trends and technologies in business analytics. We also organized faculty development programs to ensure that our faculty members are equipped with the latest knowledge and skills required to deliver high-quality education.

Additionally, we have collaborated with industry partners to provide students with opportunities for hands-on learning and real-world experience. We have also incorporated new technologies into our teaching methods to enhance student engagement and learning outcomes. These initiatives reflect our commitment to ensuring that our program remains relevant and effective in preparing students for successful careers in business analytics.

4.3 Program Review and Monitoring

Our institution conducts regular program reviews to monitor the effectiveness of the Diploma in Business Analytics program. Reviews are conducted annually by a program committee comprising faculty members, industry experts, and alumni. The results of these reviews are used to:

• Identify strengths and weaknesses of the program.
• Implement changes to improve curriculum, teaching methodologies, and assessment practices.
• Ensure the program remains aligned with industry standards and best practices.

The institution conducts regular program reviews and monitoring activities to ensure ongoing program quality and effectiveness.

Processes and Frequency:

• Program reviews are conducted on a cyclical basis, typically every three to five years, to assess program outcomes, student achievement, and alignment with industry standards and accreditation requirements.
• Continuous monitoring of key performance indicators, such as student retention rates, graduation rates, and post-graduation employment outcomes allows for timely identification of trends and areas requiring attention.

Utilization of Review Results:

• Results of program reviews and monitoring activities are used to inform strategic planning, resource allocation decisions, and curriculum enhancements.
• Actionable recommendations stemming from program reviews are implemented through collaborative efforts involving program administrators, faculty, and relevant stakeholders.
• Continuous evaluation and adjustment based on review results ensure that the program remains responsive to changing industry needs and evolving educational standards.

Section 5: Conclusion

In conclusion, this self-evaluation report provides an overview of our program and demonstrates our commitment to maintaining high-quality educational standards. We have outlined the program's goals, structure, curriculum, and assessment methods, while highlighting the qualifications of our faculty and the resources available to support student learning. We have also emphasized our dedication to continuous improvement through feedback mechanisms and quality enhancement initiatives.

We believe that our program meets the required standards for programmatic accreditation and are confident that it prepares students for successful careers in their chosen fields. We welcome the opportunity for external review and feedback from the Accreditation Committee to further enhance our program's quality.

Thank you for considering our institution for programmatic accreditation. We look forward to the opportunity to engage in the external review process and demonstrate our commitment to providing a high-quality education.