Data Analytics for Business

Program Introduction

Program Code: M018
Campus: Ace Acumen Campuses – Mississauga

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

CodeTitleCredits
DAB100  INTRODUCTION TO DATA ANALYTICS3
DAB501  BASIC STATISTICS AND EXPLORATORY DATA ANALYSIS5
DAB101  INTRODUCTION TO ARTIFICIAL INTELLIGENCE2
DAB102  INFORMATION MANAGEMENT3
DAB103  ANALYTIC TOOLS AND DECISION MAKING5

Semester 2

CodeTitleCredits
DAB200  MACHINE LEARNING I5
DAB201  DATA VISUALIZATION AND REPORTING4
DAB502  ADVANCED STATISTICS FOR DATA ANALYTICS5
DAB202  IT SERVICE MANAGEMENT3
DAB203  BUSINESS ANALYTICS AND DECISION MAKING4

Semester 3

CodeTitleCredits
DAB300  MACHINE LEARNING II5
DAB301  PROJECT MANAGEMENT ANALYTICS4
DAB302  ETHICS FOR ANALYTICS2
DAB303  MARKETING ANALYTICS5
DAB304  HEALTHCARE ANALYTICS5

Semester 4

CodeTitleCredits
DAB400  SUPPLY CHAIN ANALYTICS5
DAB401  FINANCIAL ANALYTICS5
DAB402  CAPSTONE PROJECT10