Data Analytics for Business

Program Introduction

The Data Analytics for Business program prepares students to visualize past, present, and future patterns by linking and presenting information in meaningful ways. The area of data analytics offers deeper insight and meaning of data sets for users by telling the story behind the information. This type of detailed and defined information enables graduates to effectively predict trends, understand the needs of customers, as well as make more informed business decisions.

Students will learn a unique blend of theoretical knowledge and advanced applicable skills. Students will also learn large scale data manipulation, how to collect, curate, encode, and store data sets, which can be analyzed and mined in ways that can be reused and repurposed to solve challenges and predict future patterns for business decision making. Students will gain critical thinking skills that demonstrate the ability to use existing and discoverable data to solve business problems.

Admission Requirements

Diploma or degree in a relevant field from a recognized college or university or demonstrated competence through related work.

Laptop Requirements

MINIMUM RECOMMENDED HARDWARE

•             Intel I7 or AMD A10 processor or better with chipset that must support virtualization

•             16 GB of RAM

•             1 TB hard drive

•             Ethernet Network Card

•             Wireless Network Card

•             One USB 3.0 port (two preferred)

•             3 Yr comprehensive parts and labour (Recommended)

SOFTWARE REQUIREMENTS

•             Windows 10 Professional Edition

EMPLOYMENT OPPORTUNITIES

Graduates may find employment across almost all public or private sectors. Positions within these sectors include data analyst, business analyst, quantitative analyst, digital marketing, project manager, operations analyst, transportation logistics, systems analyst. Those with an entrepreneurial spirit may prefer self-employment opportunities within the field such as data analytics consultants or design of data management solutions.

International Students

The English proficiency requirement is IELTS 6.0 with no band lower than 5.5, or PTE (Pearson Test of English) Level 54, or TOEFL paper-based test (PBT) score of 550, or internet-based test (iBT) score of 78, or computer-based test (CBT) score of 213, Duolingo score of 100.

Courses

Semester 1

Code Title Credits
DAB100

 

INTRODUCTION TO DATA ANALYTICS 3
DAB501

 

BASIC STATISTICS AND EXPLORATORY DATA ANALYSIS 5
DAB101

 

INTRODUCTION TO ARTIFICIAL INTELLIGENCE 2
DAB102

 

INFORMATION MANAGEMENT 3
DAB103

 

ANALYTIC TOOLS AND DECISION MAKING 5

 

Semester 2

Code Title Credits
DAB200

 

MACHINE LEARNING I 5
DAB201

 

DATA VISUALIZATION AND REPORTING 4
DAB502

 

ADVANCED STATISTICS FOR DATA ANALYTICS 5
DAB202

 

IT SERVICE MANAGEMENT 3
DAB203

 

BUSINESS ANALYTICS AND DECISION MAKING 4

 

Semester 3

Code Title Credits
DAB300

 

MACHINE LEARNING II 5
DAB301

 

PROJECT MANAGEMENT ANALYTICS 4
DAB302

 

ETHICS FOR ANALYTICS 2
DAB303

 

MARKETING ANALYTICS 5
DAB304

 

HEALTHCARE ANALYTICS 5

 

Semester 4

Code Title Credits
DAB400

 

SUPPLY CHAIN ANALYTICS 5
DAB401

 

FINANCIAL ANALYTICS 5
DAB402

 

CAPSTONE PROJECT 10