Why BA
I see a future in to the course, and my passion towards analytics,
and my past experience with business intelligence software like tableau,
along with the increasing demand for the analysts in various domains, this
course will equip me with the deep understanding of key concepts, and
improve my skills
Why Australia
academic factors are the quality of education which includes practical
application of knowledge,
industry-relevant curriculum
unlike India which is theory intensive study
non-academically Australia’s Multicultural environment
stable government, low crime rate,
why Deakin University
Deakin is one of the best universities in Australia with QS World Rankings
of 197
and AACSB ( Association of Advance Collegiate Schools of Business)
accreditation,
quality of Resources available to students, experienced faculty,
curriculum, teaching effectiveness
offering a specialization in numerous fields.
benefit of this course / Outcomes
this degree will aid me in problem solving and data interpitation skills,
predictive analytics, decision modelling, machine learning, artificial
intelligence, cyber security strategies and real-world applications of
analytics.
Course
The course has been developed in consultation with IBM, Microsoft,
Deloitte, EY , PwC.
i will learn skills that are in demand
SKILLS - predictive analytics, decision modelling, machine learning,
artificial intelligence, cyber security strategies and real-world applications
of analytics.
16 credit points
11Core, 1 compulsory 0 points , 1 course elective , 4 specialization
foundation skills and knowledge
Foundation Skills in Data Analysis - principles of data
visualisation, introduction to data analytics, understanding of business
metrics.
Business Intelligence and Database - introduce current theories,
techniques, frameworks, applications, architectures and technologies in
business intelligence
Value of Information - How ICT investments generate business
value. ICTs contribute gaining competitive advantage of the firm
Descriptive Analytics and Visualisation - data and evidence-
based decision making, understanding of statistical
approaches limitations, typical application areas
Predictive Analytics
knowledge and skills to build predictive models and use data mining
tools with ‘Big Data’ Software’s like rapid miner which we were
given introduction to in big data
Decision Modelling for Business Analytics - knowledge and skills
to build complex decision models and use advanced quantitative
modelling techniques
Machine Learning in Business - introduction to fundamental
programming concepts required by business professionals to work with
machine learning concepts.
Real World Analytics learn to optimisation problems such as:
production planning, time-tabling management, , learn how to apply
the concepts of multivariate function
Advanced Artificial Intelligence for Business - knowledge and
skills to develop and deploy advanced AI solutions for real world
business problems. , AI techniques such as deep learning, text mining,
and intelligent systems will be introduced
Cyber Security Strategies how data can be captured and
reorganised effectively to address these issues, and how to secure the
data against threats.
opportunity to gain hands-on experience
Decision Analytics in Practice (Capstone) -
by working on an large scale business problem under the guidance team of industry practitioners.
Accounting
Artificial Intelligence for Business
Digital Finance
Digital Transformation
Event Management
Finance
Financial Planning
Human Resource Management
International Trade and Business
Leadership
Management Consulting
Marketing
Marketing Technology
Professional Practice
Project Management
Property and Real Estate
Supply Chain Management
Specilization
Marketing Management ^
Marketing, Consumers, and the Marketplace ^
Consumer Behaviour
Digital and Social Media Marketing
Strategic Brand Management
Having done BBA from Lovely Professional University with courses
like Big Data, Tableau and SQL inspired me to choose a career in the
analytics field, including with my skill set and knowledge further
motivated me to persue a master's degree, This course has subjects
like Applied Analytics, Database Concepts, Data Visualisation and
Communication, Machine Learning, Time Series Analysis including
with research project. This course will equip me with deep
understanding of key concepts, and improve my skills in various
fields like predictive analytics, decision modelling, machine learning,
real-world applications of analytics, problem-solving and data
interpretation skills Which are important for an analyst. I joined
Addicor Technologies as Marketing Intern from November-2023 to
May-2024 after my Bachelour's Degree and started Microsoft Power-
BI Analyst Professional Certificate Course after my internship I am
aware of the all the costs involved during my study course , which
involves Course Fee of around 82,560 Aud(66,048 Aud if get RMIT
Future Leaders Scholarship which is 20% reduction on the course fee
), living expenses(rent,food) and other
expenses(Health,transport,ect), i am expected to spend around
20,000 Aud per year.
