Bachelor of Business Analytics
Admission to Program
Admission to the program is explained in the HCT Admission Policy described in the Academic Policies section of this Catalog.
Program Mission
The Bachelor of Business Analytics aims to produce graduates able to excel in current and future business analytics and knowledge economy roles. Graduates will possess the skills necessary to effectively generate, analyze, and communicate complex business insights, driving data-informed decision-making in diverse organizational contexts. They will demonstrate adaptability, critical thinking, and problem-solving abilities, ensuring their readiness to navigate the evolving landscape of business analytics.
Program Description
The Bachelor of Business Analytics program provides students with a comprehensive, applied educational foundation in business analytics tools and techniques to support real-world problem solving. The program's curriculum combines foundational business and general education courses with specialized Business Analytics courses, enabling students to develop a well-rounded understanding of the field. Students will learn to use a diverse range of tools and techniques, including statistics, machine learning, and artificial intelligence, to manage, analyze, and report on business-related datasets. They will develop critical thinking, complex problem-solving, and effective communication skills to drive organizational decision-making.
A foundational component of the program is its industry experience integration, allowing students to apply their knowledge in a professional setting for two semesters while completing complementary remote courses. This practical experience reflects the program's emphasis on applying contemporary business analytics tools in real-world contexts. Graduates will be prepared to take on business analytics roles, contributing to organizational success by driving data-informed strategies and decision-making processes. They will demonstrate the ability to work independently or in teams, adapt to the evolving landscape of business analytics, and commit to continuous learning.
Program Goals
To produce graduates who are:
- Innovative and ready to assume today's Business Analytics roles, with the foresight and adaptability to become tomorrow's industry leaders.
- Entrepreneurial-minded and skilled at integrating theoretical knowledge and applied learning, fostering effective problem-solving skills in Business Analytics.
- Critical thinkers who can develop practical, applied Business Analytics solutions for real world problems leveraging technology.
- Ethical decision-makers in diverse business environments with an emphasis on sustainability.
Program Learning Outcomes
Degree Level
Students will be able to…
- Apply interdisciplinary business knowledge and regulations to solve business problems.
- Collaborate in teams, demonstrating leadership skills and commitment to the professional development of others.
- Evaluate ethical and professional responsibilities in complex business situations, exhibiting autonomy and dedication to self-improvement.
- Communicate data-driven insights clearly and ethically using appropriate technologies.
- Apply comprehensive Business Analytics knowledge and tools to systematically create business recommendations.
- Demonstrate creativity and independence in using business analysis methods and advanced data literacy for organizational problem-solving.
Completion Requirements
Bachelor of Business Analytics
Students must successfully complete a minimum of 120 credits, including:
| Code | Title | Credit Hours |
|---|---|---|
| Business Core Courses | 45 | |
| Business Analytics Specialization Courses | 57 | |
| General Studies | 18 | |
| Total Credits | 120 | |
To qualify for the bachelor's degree, a student is required to:
- Successfully complete the required number of credits and courses specific to the program with a minimum cumulative GPA of 2.0.
- Complete 100 hours of volunteering.
- Meet the residency requirement that a minimum of 50% of the program credit requirements have been completed at the HCT.
| Code | Title | Credit Hours |
|---|---|---|
| Business Core Courses | ||
| Required Credits: 45 | ||
| BUS 1023 | Applied Mathematics for Business | 3 |
| ACC 1003 | Fundamentals of Financial Accounting | 3 |
| ECO 1003 | Microeconomics | 3 |
| MGT 1003 | Principles of Management | 3 |
| ACC 1103 | Managerial Accounting | 3 |
| MGT 1013 | Managing Organizational Behavior | 3 |
| ECO 1103 | Macroeconomics | 3 |
| MRK 1103 | Principles of Marketing | 3 |
| STS 2003 | Business Statistics | 3 |
| FIN 2003 | Financial Management | 3 |
| MGT 2113 | Ethics and Sustainability in Business | 3 |
| BIS 2103 | Business Information Systems | 3 |
| LAW 3103 | Business and Commercial Law | 3 |
| MGT 3013 | Project Management & Business Simulation | 3 |
| BUS 3123 | Business Research Methods | 3 |
| Business Analytics Specialization Courses | ||
| Required Credits: 57 | ||
| BNA 2003 | Principles of Business Analytics | 3 |
| BNA 2103 | Business System Analysis | 3 |
| BNA 2123 | Applications of Business Analytics | 3 |
| BNA 3103 | Business Intelligence and Knowledge Management | 3 |
| BNA 3133 | Data Management | 3 |
| BNA 3113 | Advanced Business Analysis | 3 |
| BNA 3616 | BNA Industry Project I * | 6 |
| BNA 3123 | Business Operations and Process Management | 3 |
| BNA 4113 | Applied Data Analytics and Reporting | 3 |
| BNA 4023 | Big-Data and Advanced Data Mining | 3 |
| BNA 4033 | Data Visualisation Techniques and Tools | 3 |
| BNA 4003 | Entrepreneurial Applications of Analytics | 3 |
| MGT 4043 | Management Science | 3 |
| BNA 4123 | Ethics and Security in Analytics | 3 |
| BNA 4716 | BNA Industry Project II * | 6 |
| BNA 4143 | ERP and Cloud Systems | 3 |
| BNA 4213 | Business Analytics Capstone Project | 3 |
| *Apprenticeship Courses | ||
| General Studies Courses | ||
| Required Credits: 18 | ||
| LSC 1103 | Professional Written Communication | 3 |
| LSC 1503 | Professional Spoken Communication | 3 |
| AES 1003 | Emirati Studies | 3 |
| BUS 2403 | Innovation and Entrepreneurship | 3 |
| BUS 2503 | AI for Business | 3 |
| BUS 3013 | Data Science for Business | 3 |
| Description | Data |
|---|---|
| Total Required Credits | 120 |
| Maximum Duration of Study | 6 years |
| Minimum Duration of Study | 4 years |
| Cost Recovery Program | No |
| Program Code | BUBNA |
| Major Code | BNA |
Recommended Sequence of Study
| Year 1 | ||
|---|---|---|
| Semester 1 | Credit Hours | |
| MGT 1003 | Principles of Management | 3 |
| ECO 1003 | Microeconomics | 3 |
| ACC 1003 | Fundamentals of Financial Accounting | 3 |
| BUS 1023 | Applied Mathematics for Business | 3 |
| LSC 1103 | Professional Written Communication | 3 |
| Credit Hours | 15 | |
| Semester 2 | ||
| MRK 1103 | Principles of Marketing | 3 |
| ECO 1103 | Macroeconomics | 3 |
| MGT 1013 | Managing Organizational Behavior | 3 |
| ACC 1103 | Managerial Accounting | 3 |
| LSC 1503 | Professional Spoken Communication | 3 |
| Credit Hours | 15 | |
| Year 2 | ||
| Semester 3 | ||
| FIN 2003 | Financial Management | 3 |
| BUS 2403 | Innovation and Entrepreneurship | 3 |
| STS 2003 | Business Statistics | 3 |
| BNA 2003 | Principles of Business Analytics | 3 |
| AES 1003 | Emirati Studies | 3 |
| Credit Hours | 15 | |
| Semester 4 | ||
| BIS 2103 | Business Information Systems | 3 |
| MGT 2113 | Ethics and Sustainability in Business | 3 |
| BNA 2103 | Business System Analysis | 3 |
| BNA 2123 | Applications of Business Analytics | 3 |
| BUS 2503 | AI for Business | 3 |
| Credit Hours | 15 | |
| Year 3 | ||
| Semester 5 | ||
| MGT 3013 | Project Management & Business Simulation | 3 |
| LAW 3103 | Business and Commercial Law | 3 |
| BNA 3103 | Business Intelligence and Knowledge Management | 3 |
| BNA 3133 | Data Management | 3 |
| BUS 3013 | Data Science for Business | 3 |
| Credit Hours | 15 | |
| Semester 6 | ||
| BNA 3113 | Advanced Business Analysis | 3 |
| BNA 3616 | BNA Industry Project I | 6 |
| BNA 3123 | Business Operations and Process Management | 3 |
| BUS 3123 | Business Research Methods | 3 |
| Credit Hours | 15 | |
| Year 4 | ||
| Semester 7 | ||
| BNA 4113 | Applied Data Analytics and Reporting | 3 |
| BNA 4023 | Big-Data and Advanced Data Mining | 3 |
| BNA 4033 | Data Visualisation Techniques and Tools | 3 |
| BNA 4003 | Entrepreneurial Applications of Analytics | 3 |
| MGT 4043 | Management Science | 3 |
| Credit Hours | 15 | |
| Semester 8 | ||
| BNA 4123 | Ethics and Security in Analytics | 3 |
| BNA 4716 | BNA Industry Project II | 6 |
| BNA 4143 | ERP and Cloud Systems | 3 |
| BNA 4213 | Business Analytics Capstone Project | 3 |
| Credit Hours | 15 | |
| Total Credit Hours | 120 | |
Aaesha Al Shehhi, PhD (Business Administration), University of Dubai, UAE
Anca Bocanet, PhD (Science and Technology Management), University of Naples Federico II, Italy
Anil Chandrasekaran, PhD (Econometrics & Business Administration), University of Madras, India
Danail Ivanov, PhD (Management Information System), Case Western Reserve University, USA
Intesar Haidara, MBA (Strategic Management), Higher Colleges of Technology, UAE
Karim Hajjar, PhD (Computer Science), University of Fribourg, Switzerland
Malik Khan, PhD (Business Management), University of South Australia, Australia
Mark Paul Sallos, PhD (Cybersecurity Management), Coventry University, UK
Mounir Kehal, PhD (Computing), University of Surrey, UK
Nora Azima Noordin, PhD (Engineering Management), The University of Strathclyde, UK
Pervez Akhtar, PhD (Management Science), SGH Warsaw School of Economics, Poland
Puteri Nohuddin, PhD (Computer Science), University of Liverpool, UK
Safwat Al Tal, PhD (E-Business), University of Salento, Italy
Samar Shilbayeh, PhD (Computer Science), University of Salford, UK
Sumarie Roodt, PhD (Informatics), University of Pretoria, South Africa
Yasser Bentahar, PhD (Intelligent Systems and Technology), University of Salento, Italy