Diploma in Applied Digital Transformation

Program Description

The program aims to equip students with essential skills in office productivity, data management, data analysis, office automation, and communication, enabling them to excel in modern digital workplaces. Over two years, the program provides hands-on experience with industry-standard tools that will develop student competencies in digital technologies with a focus on data handling, workflow automation, basic AI integration, and data visualization, preparing them for professional roles or further studies in fields like data science. The program also emphasizes effective communication, collaboration, and the ability to leverage cloud-based technologies, ensuring students are well-rounded and industry-ready.

Program Learning Outcomes

PLO 1 - Demonstrate knowledge of digital transformation and its impact on business processes.

PLO 2 - Develop digital content creation and communication skills using a range of digital tools.

PLO 3 - Apply data management, analysis, and visualization techniques to support decision-making in business environments.

PLO 4 - Apply critical thinking and problem-solving to address workplace challenges using digital technologies.

PLO 5 - Demonstrate effective communication and collaboration in digital work environments using appropriate tools and platforms.

PLO 6 - Evaluate personal learning and development while upholding ethical standards in a digital environment.

  Occupation and Industry Sector

Completion Requirements

Students seeking the Diploma in Applied Digital Transformation qualification must successfully complete all mandatory core courses worth 90 credits.

Applied Digital Transformation Core Courses
Required Credits : 90
GED 100Develop English language skills3
GED 101Use effective business communications4
ADT 100Develop a plan for business transformation using digital technologies4
ADT 101Create professional documents using word processing software4
ADT 102Create spreadsheets to store and manipulate data4
ADT 103Design presentations for effective communication of content4
ADT 104Manage computer system software and hardware4
ADT 105Develop spreadsheets with enhanced capabilities4
ADT 106Create documents with advanced features4
ADT 107Create Simple Software Programs and Develop Problem Solving Skills4
ADT 108Implement workflows to automate repetitive business tasks4
ADT 109Develop simple websites4
ADT 130Utilize office productivity software in a workplace3
ADT 131Integrate into the workplace and practice digital operations3
ADT 200Apply basic data analysis and visualization techniques4
ADT 201Manage data stored in relational databases4
ADT 202Use cloud-based tools for effective collaboration3
ADT 203Develop intelligent automation workflows4
ADT 204Create visual digital assets3
ADT 205Utilize generative artificial intelligence tools effectively for productivity3
ADT 230Practice task automation in professional settings4
ADT 231Utilize collaboration and automation tools in the workplace4
ADT 232Use data processing and AI tools to support workplace insights and productivity4
ADT 233Practice data management in professional environments4

Recommended Sequence of Study

Diploma in Applied Digital Transformation

Plan of Study Grid
Year 1
Semester 1Credit Hours
ADT 100 Develop a plan for business transformation using digital technologies 4
GED 100 Develop English language skills 3
ADT 101 Create professional documents using word processing software 4
ADT 102 Create spreadsheets to store and manipulate data 4
ADT 103 Design presentations for effective communication of content 4
ADT 104 Manage computer system software and hardware 4
 Credit Hours23
Semester 2
ADT 105 Develop spreadsheets with enhanced capabilities 4
ADT 106 Create documents with advanced features 4
ADT 107 Create Simple Software Programs and Develop Problem Solving Skills 4
GED 101 Use effective business communications 4
ADT 108 Implement workflows to automate repetitive business tasks 4
ADT 109 Develop simple websites 4
 Credit Hours24
Summer
ADT 130 Utilize office productivity software in a workplace 3
ADT 131 Integrate into the workplace and practice digital operations 3
 Credit Hours6
Year 2
Semester 3
ADT 200 Apply basic data analysis and visualization techniques 4
ADT 201 Manage data stored in relational databases 4
ADT 202 Use cloud-based tools for effective collaboration 3
ADT 203 Develop intelligent automation workflows 4
ADT 204 Create visual digital assets 3
ADT 205 Utilize generative artificial intelligence tools effectively for productivity 3
 Credit Hours21
Semester 4
ADT 230 Practice task automation in professional settings 4
ADT 231 Utilize collaboration and automation tools in the workplace 4
ADT 232 Use data processing and AI tools to support workplace insights and productivity 4
ADT 233 Practice data management in professional environments 4
 Credit Hours16
 Total Credit Hours90