Program Overview
The Master's program in Advanced Analytics – Big Data at SGH Warsaw School of Economics equips students with advanced knowledge and skills in data extraction and analysis from various sources. The program combines technical and analytical skills, teaching programming languages like Python and R from scratch. Graduates are highly sought-after in various sectors, including business analytics, data science, consulting, and IT. The program prepares students for successful careers in data-driven fields, providing them with the skills and knowledge to extract insights from data, make informed decisions, and drive innovation.
Program Outline
Degree Overview:
Objectives:
The Master's program in Advanced Analytics – Big Data at SGH Warsaw School of Economics aims to equip students with advanced knowledge and skills in data extraction and analysis from various sources. The program emphasizes both technical skills and actual data analysis knowledge, enabling graduates to:
- Process data in the ETL procedure and in real-time, build queries for SQL and non-SQL databases, and prepare data for analysis.
- Implement decision-making rules in a simplified programming environment and conduct a simulation process to verify their correctness and build data analysis models based on various statistical, mathematical, and IT tools.
- Manage the entire life cycle of the predictive model, including identifying bottlenecks in the process and empty runs, and optimizing the decision-making process by setting parameters for financial indicator maximization.
- Apply sampling methods to analyze large data volumes and conduct statistical and econometric analyses in modeling economic phenomena and processes.
- Analyze and model multidimensional data for application in economic, social, and business (market and marketing) research.
Program Description:
The program combines technical and analytical skills, teaching programming languages like Python and R from scratch. However, prior knowledge in programming or concepts like linear algebra, mathematical analysis, and probability theory will be advantageous. Students without prior knowledge can access additional courses offered by the program, but this may require extra effort. The program also prepares students for research and further studies at the doctoral level.
Outline:
Program Content:
The program covers various topics related to advanced data analysis, including:
- Programming languages: Python, R, SCALA
- Data warehousing and data lakes
- ETL procedures and real-time data processing
- Data analysis methods and tools
- Building forecasting and simulation models
- Machine learning and deep learning
- Mathematical foundations of modeling
- Statistical and econometric analysis
- Big data technologies
Program Structure:
The program consists of 2 years (4 semesters) of full-time study. The curriculum features lectures, seminars, workshops, and individual work.
Individual Modules:
The program includes various modules covering specific topics in data analysis.
Assessment:
Assessment Methods:
The program uses various assessment methods to evaluate students' understanding and skills, including:
- Exams
- Assignments
- Projects
- Presentations
- Knowledge and understanding of concepts
- Critical analysis and problem-solving skills
- Application of theoretical knowledge to practical situations
- Ability to communicate findings effectively
- Collaboration and teamwork skills
Teaching:
Teaching Methods:
The program utilizes various teaching methods to engage students and facilitate learning, including:
- Interactive lectures
- Hands-on workshops
- Group discussions
- Case studies
- Guest lectures by industry experts
- Independent research projects
Faculty:
The program is taught by experienced faculty with expertise in data analysis, statistics, econometrics, computer science, and related fields. All faculty members have strong academic credentials and industry experience.
Unique Approaches:
The program employs a unique approach that combines theoretical knowledge with practical application. Students have the opportunity to work on real-world projects and collaborate with companies and organizations. This hands-on experience allows them to develop valuable skills and gain industry insights.
Careers:
Career Paths:
Graduates of the program are highly sought-after in various sectors, including:
- Business analytics
- Data science
- Consulting
- IT
- Banking and finance
- Telecommunications
- Government agencies
- Non-profit organizations
- Academia
Career Opportunities:
Graduates can pursue diverse career opportunities, such as:
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Data Engineer
- Statistician
- Econometrician
- Machine Learning Engineer
- Research Scientist
Career Outcomes:
Graduates of the program are well-prepared for successful careers in data-driven fields. They have the skills and knowledge to become valuable assets to organizations, helping them extract insights from data, make informed decisions, and drive innovation.
Other:
Tuition:
The tuition fee for the program is 2300 EUR per semester or 2350 EUR per semester if paid in installments (470 EUR per installment).
Benefits:
Graduates of the program enjoy various benefits, including:
- Comprehensive education in advanced data analysis
- In-demand skills and knowledge in the job market
- Access to career opportunities in various sectors
Tuition2300 EUR (for one semestr) or 2350 EUR (for one semester, payment in installments, one installment 470 EUR)
Warsaw University of Economics (SGH)
Overview:
Warsaw University of Economics (SGH) is a renowned public university in Warsaw, Poland, specializing in economics, business, and finance. It is considered one of the leading economic universities in Poland and boasts a strong international reputation.
Services Offered:
SGH offers a wide range of services to its students, including:
Academic Programs:
First-cycle (Bachelor's), second-cycle (Master's), Doctoral, Postgraduate, and MBA programs.Library:
Extensive library resources with online databases, subscribed journals, lending services, and a reprographic workshop.Centre of Foreign Languages:
Offers language courses for students.Sport:
Physical education and sports facilities are available for students.Student Internship:
Opportunities for students to gain practical experience.Student Organizations:
A variety of student organizations provide extracurricular activities and networking opportunities.International Programs:
Exchange programs, double and joint degree programs, short mobilities, and Erasmus+ internships.Medical Care:
Health insurance, primary health care, psychological assistance, and a medical facility.IT Services:
Access to SGH mail, Microsoft Office 365, OneDrive, VPN, and specialized software like Matlab, SAS, SPSS, STATA, and Statistica.Scholarships and Financial Aid:
Various scholarships and financial aid options are available for students.Student Residence Halls:
Accommodation options are available for students.Student Life and Campus Experience:
SGH provides a vibrant campus experience with a strong emphasis on internationalization. Students can participate in various student organizations, engage in sports activities, and benefit from international exchange programs. The university also organizes adaptation days for new students to help them adjust to campus life.
Key Reasons to Study There:
High-Quality Education:
SGH is recognized for its high-quality academic programs and experienced faculty.International Reputation:
The university enjoys a strong international reputation, attracting students and faculty from around the world.Strong Industry Connections:
SGH has strong connections with businesses and organizations, providing students with internship and career opportunities.Vibrant Campus Life:
The university offers a vibrant campus life with a variety of student organizations, sports facilities, and social events.Excellent Research Opportunities:
SGH is a leading research institution, providing students with opportunities to participate in research projects.Academic Programs:
SGH offers a wide range of academic programs in economics, business, and finance, including:
First-cycle studies (Bachelor's degree):
Programs in Economics, Finance and Accounting, Management, and other related fields.Second-cycle studies (Master's degree):
Programs in various specializations within economics, business, and finance.Doctoral School:
Offers PhD programs in various fields of economics, business, and finance.Postgraduate and MBA Studies:
Programs designed for professionals seeking to enhance their skills and knowledge.Other:
SGH is a member of several international organizations, including CIVICA – The European University of Social Sciences, CEMS, AACSB, and EFMD. The university also has a strong commitment to research and innovation, with several research institutes and centers dedicated to various fields of study.
