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Data Analytics – Big Data Program

A network of servers and connected devices, illustrating the Data Analytics – Big Data program

Quick facts about data analytics careers

Data analysts (Data Scientists) are specialists in Big Data, applied mathematics and computer programming with Machine Learning and Deep Learning, working in commerce, healthcare, manufacturing, finance and more. They apply models, algorithms (modeling methods) and charts to manage, mine, analyse and forecast, and to make important decisions for the goal under consideration based on collected data — thereby evaluating work already done and setting strategies and directions for future development.

Big Data and its application areas: retail, banking and finance, media, healthcare, education, government, transportation, insurance

Job growth: the projected job growth for market research analysts (another term for data analysts) in the period 2014–2024 is 19%, based on data from the US Bureau of Labor Statistics. That is a significant number of newly created positions.

  • Salary: data analysts are well paid even if they do not continue into data science or engineering! How much do data analysts earn? According to Payscale, data analysts receive an annual salary of $60,000 – $180,000 (an average of US$131,389 according to 2019 figures from indeed.com).
  • Data Scientist ranked #4 in Indeed’s Best Jobs in the U.S. Average Base Salary, 2019.
  • Competitive advantage: this is a field where supply is low and demand is high. It is a very HOT field today, and you can work in any area such as Healthcare, Finance, Business, Banking, Marketing, Government, Fast Food, Retail IT, Industry, etc. Your foundation in Data Analytics with Machine Learning and Deep Learning is a strong competitive advantage that brings you a high income, a work environment with global interaction, and a solid base for doing well in AI-related jobs in the future.
  • Data Analyst ranked #38 in Glassdoor’s 50 Best Jobs in America, 2018
A specialist working with data in front of a computer screen

Student benefits

This program is for third-year students and above, bachelors, lecturers, engineers and others from different fields who want to learn in order to work, research and apply Data Analytics in their jobs, and who are looking for the very “hot” job opportunities related to Data Analytics with Big Data, Data Mining, Machine Learning and Deep Learning at any company in the world.

  • Students are fully equipped with the latest Data Analytics knowledge.
  • Students are taught entirely in English in an academic environment that follows US university education standards.
  • Students are taught by leading professors and lecturers in Data Analytics.
  • Students undertake internships at companies and technology firms in Vietnam or abroad.
  • Students take part in events, workshops, conferences, forums and Data Analytics competitions, and are mentored by professors at US universities and by specialists and engineers working at companies in the United States such as Microsoft, Amazon, Google, Apple, TSC, etc.
  • Students are taught interview skills to prepare for meeting recruiters, and are introduced to recruiting companies.
  • Students are able to join real projects and online projects, or contribute and collaborate with Data Scientists, Big Data, Machine Learning, Deep Learning and AI Engineers around the world.
  • After completing the program, students can apply their skills and work right away at any technology company recruiting Data Scientists, Data Analytics specialists, Data Engineers, Big Data specialists, Data Analysts, Data Mining specialists, and Machine Learning and Deep Learning Engineers.
  • A high salary of $1,000 to $3,000 per month awaits you.

Minimum admission requirements

Third-year students and above, bachelors, lecturers, engineers and others in majors such as Economics, Foreign Trade, Finance, Natural Sciences, Informatics, IT, etc.

English level B or higher obtained no more than two years before the application date, or good practical listening, speaking, reading and writing skills and a pass in a direct interview at the institute.

Priority is given to students with English test scores obtained no more than two years before the application date, meeting these standards:

  • UK IELTS 5.0 or higher in all four skills: listening, speaking, reading and writing.
  • US-standard TOEFL iBT score of 60 or higher.
  • TOEFL ITP (for graduate students of Vietnamese universities, issued by IIG Vietnam) of 500 or higher.

Priority is given to students with US graduate and doctoral entrance scores, such as a GMAT score of 600 or higher, or a GRE score of 150 or higher in the verbal and quantitative sections.

Computer literate, with knowledge of at least one programming language.

Priority is given to students who have won prizes in Olympiads in Natural Sciences and Informatics.

Courses in the program

Total: 36 graduate credits.

The program has 4 semesters; each semester has 3 courses; each course is worth 3 graduate credits.

Planned start date: 5/2020

Classes are held in the evening on Tuesdays and Thursdays from 18:00 to 21:00.

SEMESTER 1

9 graduate credits — core curriculum

Course #Course titleCreditsSoftwareTimeframe
STAT 500Applied Statistics for Data Analytics3Calculators8 x 3 hours
DATA-ML 881Data-Driven Decision Making – Machine Learning3R & Rattle language16 x 3 hours
DATA-BA 521Database Design Concepts3Oracle SQL8 x 3 hours

SEMESTER 2

9 graduate credits — required courses

Course #Course titleCreditsSoftwareTimeframe
DATA-PA 575Foundations of Predictive Analytics3IBM SPSS- Modeler 1816 x 3 hours
DATA-MN 545Data Mining3KNIME, IBM-Modeler 188 x 3 hours
DATA-WA 825Large Database and Warehouse3Hadoop, Apache Hive, Pig, Hbase, KNIME16 x 3 hours

SEMESTER 3

9 graduate credits — base courses

Course #Course titleCreditsSoftwareTimeframe
DATA-DV 871Data Visualization3Tableau8 x 3 hours
DATA-CC 822Data Collection and Cleaning3R & Rattle8 x 3 hours
DATA-DL 897Deep Learning3Python, RStudio8 x 3 hours

SEMESTER 4

3 graduate credits — research requirement

Course #Course titleCreditsSoftwareTimeframe
RI-596Research Independent and practice at companies3Any software8 x 3 hours

6 graduate credits — master thesis

Course #Course titleCreditsSoftwareTimeframe
MASTER 888Design and Implementation of Analytics Systems6Docker, Spark, Scala, Rstudio8 x 3 hours and take home