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Ameer Khatri MBA Consultant

Master’s in Data Analytics at University of Porto

21/10/2023

120

Course Credits

4

Semesters

NA

Avg. Cost of Study

24

Months Duration 

NA

Avg. Salary

Summary

Introduction to Master’s in Data Analytics at University of Porto​

The Master’s in Data Analytics at the University of Porto is a 24-month program that trains students in the skills and knowledge needed to become data analysts. The program is highly ranked and respected, and it will give you the skills and knowledge you need to succeed in this growing field. To be eligible for the program, you must have a bachelor’s degree in a related field, such as computer science, statistics, or mathematics.

The Master’s in Data Analytics at the University of Porto is a highly ranked program. It is ranked 9th in Western Europe by Eduniversal and 95th in the world by QS Business Masters Rankings. If you are interested in pursuing a career in data analytics, the Master’s in Data Analytics at the University of Porto is a great option. The program is well-respected and will give you the skills and knowledge you need to succeed in this growing field.

 

Why Study Master’s in Data Analytics at University of Porto​?

NA

FT Rankings

NA

US News

95

QS Ranking

There are many things which attracts students towards this program:

  • The program is taught by experienced faculty. The faculty of the Master’s in Data Analytics at the University of Porto are all experts in their field. They have extensive experience in teaching and research, and they are committed to helping students succeed.
  • Career opportunities: The knowledge and techniques provided by this master are applicable to any sector and area of activity. Some examples are: distribution, retail, telecommunications, banking, insurance, manufacturing, transport and health.
  • The program offers a strong curriculum. The curriculum of the Master’s in Data Analytics at the University of Porto covers all the essential topics in data analytics, including statistics, machine learning, and data mining. Students will also learn how to apply these techniques to real-world problems.
  • The program is offered in English. The Master’s in Data Analytics at the University of Porto is taught entirely in English. This makes it a great option for international students.

Program Costs: Master’s in Data Analytics at University of Porto​

The Master’s in Data Analytics program at the University of Porto has three tuition fee categories: national, international, and CPLP international. National students pay 1,500 euros per year, international students pay 5,000 euros per year, and CPLP international students pay 2,750 euros per year. CPLP stands for the Community of Portuguese Language Countries, which includes Portugal, Brazil, Angola, Mozambique, Cape Verde, Guinea-Bissau, São Tomé and Príncipe, East Timor, and Equatorial Guinea.

 

Employement Prospects : Master’s in Data Analytics at University of Porto​

    Most Sought-after Jobs

  • Data analyst
  • Business intelligence analyst
  • Data scientist
  • Machine learning engineer
  • Statistical analyst
  • Research analyst
  • Financial analyst
  • Marketing analyst
  • Operations analyst
  • Risk analyst

The knowledge and techniques provided by this master are applicable to any sector and area of activity. Some examples are: distribution, retail, telecommunications, banking, insurance, manufacturing, transport and health.

Eligibility Criteria for Master’s in Data Analytics at University of Porto​

Students or professionals with basic knowledge of statistics who wish to consolidate and deepen skills to:

  • extract and analyse information from large data sets (big data) in order to support informed decision-making;
  • develop business intelligence systems;
  • intend to pursue 3rd cycle studies in areas requiring quantitative analysis. 

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Specializations & Electives Offered

The first year of the Data Mining program consists of two semesters. In the first semester, students take the following courses:

  • Data Mining I (6 credits)
  • Data Bases and Programming (6 credits)
  • Applied Statistics (6 credits)
  • Data Analysis (6 credits)
  • Laboratory (6 credits)

In the second semester, students take the following courses:

  • Data Mining II (6 credits)
  • Optimization (6 credits)
  • Forecasting Methods and Time Series (6 credits)
  • Electives (12 credits)

The electives are chosen by the student in consultation with the program’s scientific committee.

The second year of the program consists of two semesters. In the first semester, students take the following courses:

  • Seminars (6 credits)
  • Quantitative Case Studies (9 credits)
  • Dissertation/Work Project/Internship Plan (9 credits)
  • Electives (6 credits)

In the second semester, students take the following course:

  • Dissertation/Work Project/Internship (30 credits)

The dissertation/work project/internship is a research project that is carried out by the student under the supervision of a faculty member. The project can be either theoretical or applied.

FAQs About MSBA

This program is ideal for professionals looking to:

  • Advance their careers in Big Data and analytics.
  • Develop the skills to lead and manage Big Data projects.
  • Gain a comprehensive understanding of Big Data technologies and tools.
  • Make data-driven decisions that improve business outcomes.

Graduates of the MBDA program are well-positioned for careers in a variety of industries, including:

  • Technology
  • Consulting
  • Finance
  • Healthcare
  • Retail
  • Marketing
  • Visit the ESIC website for detailed information and application procedures.
  • Attend an information session or webinar.
  • Contact the program admissions team for any questions.

Application Process & timeline

We strongly advise all our clients to have a proper excel sheet or a timetables mapped out.
Once you are done with GMAT the entire application process usually take 4-6 weeks

Step 1

GMAT / GRE Score

2-3 months.

If you are not sure about what score to target then look at the average score of the schools you want and shoot above the average. 

Step 2

Profile Evaluation

 1-2 weeks.

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Step 3

Application Prep

3-4 weeks at least. 

Start writing at least 1 month in advance of their 1st deadline. First application usually takes the longest.

Step 4

Interview Prep

1 week

School will notify you and give you roughly 1 week to schedule your interview. Ideally, start your prep ASAP and Do some mock interviews.

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