Big Data, Data Science, Analytics, and Technologies Timisoara
Study program presentation
Master’s degree program Big data – data science, analytics and technologies has a professional character and mainly targets graduates of a study program in the field of exact sciences and engineering (computer science, mathematics, computers and information technology), but also in other fields related to quantitative data analysis (management informatics, economics, etc. .). The curriculum is designed to allow, through the appropriate choice of optional subjects, the pursuit of either a path oriented towards the analysis-interpretation of data and design of analysis models or a path with a predominantly technological character (implementation of analysis methods , design of business flows, maintenance of data processing platforms, etc.).
The purpose of this proposed master’s degree program is to train specialists in the field of data exploration to possess the knowledge necessary to build robust and efficient models of statistical data analysis, skills in designing, implementing and using algorithms for automatic data extraction and skills in using technologies specific to processing large volumes of data and implementing scalable applications. The compulsory subjects included in the curriculum ensure the acquisition of skills in both the analytical component (statistical modeling, predictive methods, machine learning techniques) and the technological component (programming languages, architectures and platforms).
Field of study
The university study cycle
Accreditation status
Form of education
Language of instruction
- 2 Years / Onsite
- Intakes: Jul Sep
Overview
The fundamental field: Mathematics and natural sciences
The branch of science: Informatics
Wide domain according to the international classification ISCED F-2013: 06 Information and communication technology
Restricted domain according to the international classification ISCED F-2013: 061 Information and communication technology
Detailed field according to the international classification ISCED F-2013: 0613 Software development and analysis and applications
Location: Timisoara
Qualification details
The name of the qualification acquired through the study program: Big data – data science, analytics and technologies
Qualification level format *:7
Awarded title: Master in Computer Science
Program details
Duration of the study program: 2 years
Number of credits **: 120
Maximum number of students that can be enrolled: 40
Seats financed from the state budget: 20
Paid places: 20
Annual tuition fee:
EU students €804
Non-EU students €2430
Career Opportunities
– Computer systems designer
– Analyst
– Developer
– Computer system programmer
– Database designers and administrators
Program Learning Outcomes
a) Knowledge:
– Knowledge of data analysis methods, predictive models, tools and platforms for processing large volumes of data.
b) Skills:
– Ability to operate with fundamental concepts in the field of mathematical modeling and statistical analysis, as well as the ability to use them in practical contexts;
– Ability to identify, implement and use algorithms to extract models from data using statistical methods and machine learning techniques;
– Ability to understand and apply the principles of distributed data processing and the use of high performance computing architectures;
– Ability to use specific platforms and technologies for processing large volumes of data;
– Ability to design and implement scalable applications;
– Ability to adapt solutions based on data-driven approaches to problems specific to a specific field of applicability.
c) Responsibility and autonomy:
-Assumption of responsibility for one’s own professional training in the field of economics and economics;
– Management of complex activities and projects individually or in teams.
Programme
Year I
Semester I: Probabilistic Models for Data Science, Data Analysis and Programming in R, Operations Research and Optimization, Ethics and Academic Integrity, 2 disciplines to choose from: Distributed Systems / Advanced Logical and Functional Programming, Distributed Methods and Technologies based on XML / Fuzzy Modeling for Data Science, Volunteering.
Semester II: Data Warehouses, Data Mining, Big Data Technologies, Internship, 2 disciplines to choose from: Parallel Computing / Fuzzy Modeling for Data Science, Dynamical Systems in Machine Learning / Biostatistics and Medical Data Analysis, Volunteering.
Year II
Semester I: Machine Learning, Big Data Applications, Data Science Industry Project; 2 disciplines to choose from: Computer Vision / Statistical Methods for Clinical Studies, Metaheuristic, Volunteering.
Semester II: Research and Professional Practice, MSc Thesis Preparation, Scientific Seminar, Volunteering.
Mention: Students who wish to opt for a teaching career (in pre-university or university education) must complete the courses of the Psycho-Pedagogical Studies Program and obtain the Certificate of Graduation from the Department for Teacher Training (DPPD) within UVT. For more information, access the link: https://dppd.uvt.ro/
Description of the exam test (s)
Admission to master’s degree studies at the Faculty of Mathematics and Informatics is done through competition, regardless of the form of education in which they are organized, based on the tests established by this regulation in order to test knowledge and cognitive abilities, based on an interview and analysis the tender file.
At the master’s degree program BigData – Data Science, Analytics and Technologies admission will be held in English.
Details regarding the admission steps
Used pattern for admission grade
The selection of candidates registered for the admission competition is made on the basis of the admission average, which is calculated as a weighted average as follows:
1. The average of the bachelor’s exam – in the weight of 50%;
2. Grade on the file – 30% (CV assessment, results obtained, including awards and distinctions obtained at national or international competitions), analysis of the content of the letter of intent (with emphasis on the motivation for choosing the program), level of knowledge of English (based on the certificate of language skills), elements of compatibility of the bachelor’s degree program graduated with the chosen master’s degree program);
3. Interview – with a weight of 20% (the ability to answer questions regarding the motivation for choosing the study program is evaluated, as well as the verification of the skills specific to the chosen field of study, according to the topic and the bibliography established at the faculty level).
The general admission average, N, is calculated to two decimal places, without rounding, according to the following formula:
N = 0.5 * N1 + 0.3 * N2 + 0.2 * N3,
where N1 is the average for the bachelor’s exam, N2 is the grade given by the examination board following the analysis of the competition file, and N3 is the grade given by the examination board following the interview.
List of required documents
The necessary documents for the enrollment file for the master’s degree programs within the Faculty of Mathematics and Informatics are the following:
*ID card;
*Birth certificate – for UVT graduates of undergraduate university studies from the current year, the document is not mandatory, it can be taken from the existing file for the cycle of university undergraduate studies;
*Marriage certificate – if appropriate;
*Bachelor’s degree or diploma equivalent to it, accompanied by the supplement to the diploma, or certificate of completion of undergraduate university studies, accompanied by the transcript, for candidates who graduated from undergraduate university studies in the current year; UVT graduates of undergraduate studies in the current year do not need to upload the certificate of completion of undergraduate studies and the transcript on the admission platform in order to apply for master’s studies in the same year, the results of the final examination of undergraduate studies , respectively the average of the years of undergraduate university studies, being taken over in the candidate’s file directly by the admission committees of the UVT faculties;
*Medical certificate issued by the family doctor, not older than 90 days from the date of its presentation at the document collection office, certifying whether the candidate is fit to enroll in university studies and, if applicable, the conditions chronic conditions suffered by the candidate (neuropsychiatric, psycho-pathological, pulmonary, dermato-venereal, disability (type, degree), etc.). Specific learning disorders (dyslexia, dysgraphia, dyscalculia, etc.) or any special educational requirements will be attested by a diagnostic certificate;
*Certificate certifying completion of another master’s university study program (completed or not at the time of submission of the file), in which the funding regime in which each year of studies was completed (with funding from the state budget/with a fee) , if it is/was carried out at a state higher education institution in Romania) and, if applicable, the years and semesters of studies in which the student benefited from the scholarship, respectively its type – if appropriate.
*Curriculum vitae;
*Letter of intent (in the Letter of intent, the candidate presents the intentions and motivation of the choice made in relation to the master’s university study program to which he applies).
Admission process calendar
Registration period: until July 13, 12:00
Date of display of preliminary results: July 14, 16:00
Date of the admission test (s) (day, hour): July 15-16, 9:00
Deadline for certification of documents according to the original – July: July 16, 16:00
Date of results listing: July 16, 18:00
Filing appeals period: July 16, 18:00 – July 17, 18:00
Date of display of results after appeals: July 17, 20:00
Seats confirmation period: July 17, 20:00 – July 18, 20:00
Listing results after confirmations: July 18, 21:00
Seats confirmation period (second stage): July 18, 21:00 – July 19, 2024, 14:00
Date of display of results after confirmations (second stage): July 19, 2024, 15:00
Final results listing: July 19, 18:00
Schedule of the admission process for the September session (valid if seats remain available after the first admission session)
September registration period: until September 9, at 12:00
Date of posting of candidates registered in September: September 9, 18:00
Date of taking the admission test (s) September: September 10, 9:00
Deadline for certification of documents September: September 10, 12:00
September results listing: September 10, 18:00
Appeals period: September 10, 18:00 – September 11, 2024, 18:00
Display of results after September appeals: September 11, 20:00
September place confirmation period: September 11, 20:00 – September 12, 20:00
Listing results after confirmations: September 12, 21:00
Seats confirmation period (second stage of confirmations) September: September 12, 21:00 – September 13, 12:00
September final results listing: September 13, 13:00
Contact us
Strada Florimund Mercy nr 2, ap 12, Timisoara, Romania
Big Data, Data Science, Analytics, and Technologies program offered by the Faculty of Mathematics and Computer Science at the West University of Timișoara (UVT).
This program is designed for students passionate about data science, big data analytics, and emerging technologies, and it provides a unique blend of theoretical knowledge and practical skills.
Big Data, Data Science, Analytics, and Technologies: Unlocking the Power of Data
The Big Data, Data Science, Analytics, and Technologies program, offered by the Faculty of Mathematics and Computer Science at the West University of Timișoara (UVT), is a cutting-edge program designed for students who are passionate about data science, big data analytics, and the technologies that drive data-driven decision-making. In an era where data is the new oil, this program equips students with the knowledge, skills, and practical experience needed to analyze, interpret, and leverage large datasets to solve complex problems and drive innovation. Whether you aspire to become a data scientist, big data engineer, or business analyst, this program provides the tools and insights to excel in the rapidly evolving field of data science.
Program Overview
The Big Data, Data Science, Analytics, and Technologies program is a master’s program that spans two years (four semesters). It is designed for students with a background in computer science, mathematics, or related fields who want to specialize in data science and big data technologies. The program is taught in English, making it accessible to both Romanian and international students.
Key Features of the Program
- Focus on Data Science and Big Data: The program emphasizes the principles and practices of data science, big data analytics, and emerging technologies.
- Interdisciplinary Approach: Combines computer science, mathematics, and business analytics to provide a comprehensive understanding of data science.
- Practical Orientation: Includes hands-on projects, lab work, and internships to apply theoretical knowledge in real-world scenarios.
- Research Opportunities: Students have the opportunity to participate in cutting-edge research projects in data science and big data.
Curriculum: A Blend of Theory and Practice
The program’s curriculum is carefully designed to equip students with the knowledge and skills needed to excel in the fields of data science and big data analytics. Below is an overview of the key components of the program:
Year 1: Foundations of Data Science and Big Data
The first year focuses on building a strong foundation in data science principles and big data technologies. Courses include:
* Introduction to Data Science: Covers the basics of data science, including data collection, cleaning, and exploration.
* Big Data Technologies: Explores the tools and frameworks used for processing and analyzing large datasets, such as Hadoop and Spark.
* Machine Learning: Examines the principles and techniques of machine learning, including supervised and unsupervised learning.
* Data Visualization: Focuses on techniques for visualizing data to communicate insights effectively.
Year 2: Advanced Topics and Practical Experience
In the second year, students delve deeper into advanced topics and gain practical experience through projects and internships. Key courses include:
* Deep Learning: Explores advanced techniques in neural networks and deep learning models.
* Big Data Analytics: Focuses on the analysis of large datasets to extract meaningful insights.
* Business Analytics: Examines the use of data analytics to drive business decisions and strategies.
* Research Project: Students complete a research project in collaboration with faculty members or industry partners, applying their knowledge to solve real-world data science challenges.
Why Choose This Program?
The Big Data, Data Science, Analytics, and Technologies program stands out for several reasons:
1. Focus on Emerging Technologies
The program is at the forefront of technological innovation, focusing on data science and big data—two fields that are transforming industries and shaping the future.
2. Interdisciplinary Approach
By combining computer science, mathematics, and business analytics, the program provides students with a holistic understanding of data science.
3. Hands-On Learning
Through lab work, projects, and internships, students gain practical experience that prepares them for the challenges of the real world.
4. Research Opportunities
Students have the opportunity to work on cutting-edge research projects, contributing to advancements in data science and big data.
5. Career Prospects
Graduates of the program are well-prepared for careers in data science, big data analytics, business analytics, and more, with opportunities in both academia and industry.
Career Prospects
Graduates of the Big Data, Data Science, Analytics, and Technologies program are well-equipped to pursue a wide range of careers in the tech industry. Some of the potential career paths include:
* Data Scientist: Analyzing and interpreting complex data to drive decision-making in various industries.
* Big Data Engineer: Designing and managing systems for processing and analyzing large datasets.
* Business Analyst: Using data analytics to drive business decisions and strategies.
* Machine Learning Engineer: Developing and deploying machine learning models for various applications.
* Research Scientist: Conducting research in data science and big data at universities, research institutions, or tech companies.
Admission Requirements
Admission to the Big Data, Data Science, Analytics, and Technologies program is competitive and requires applicants to meet specific criteria. These include:
* Bachelor’s Degree: Applicants must hold a bachelor’s degree in computer science, mathematics, or a related field.
* English Language Proficiency: Since the program is taught in English, applicants must demonstrate proficiency in the language. This may be verified through language tests such as TOEFL or IELTS.
* Entrance Exam or Interview: Some applicants may be required to take an entrance exam or participate in an interview as part of the admission process.
Prospective students are encouraged to visit the program’s official page for detailed information on admission requirements and application deadlines: Big Data, Data Science, Analytics, and Technologies.
Student Life and Support
The Faculty of Mathematics and Computer Science offers a vibrant and supportive environment for students. In addition to academic excellence, students can participate in a variety of extracurricular activities, including:
* Student Organizations: Join clubs and societies focused on data science, big data, and technology.
* Hackathons and Competitions: Participate in data science challenges, coding competitions, and hackathons to test their skills and creativity.
* Conferences and Workshops: Attend events featuring industry experts and thought leaders.
* Career Services: Access career counseling, job placement assistance, and networking opportunities with alumni and industry professionals.
Conclusion
The Big Data, Data Science, Analytics, and Technologies program at the West University of Timișoara is an excellent choice for students seeking a career in the cutting-edge fields of data science and big data analytics. With its focus on advanced technologies, interdisciplinary approach, and practical experience, the program provides students with the knowledge, skills, and opportunities needed to succeed in a competitive and rapidly evolving world. Whether you aspire to analyze data, develop machine learning models, or drive business decisions, this program offers the tools and insights to achieve your goals.
Why Choose UVT and GlobalStudent?
For international students, GlobalStudent is the ideal partner to navigate the challenges of studying abroad. From visa assistance to part-time job placement, GlobalStudent ensures that students can focus on their studies and make the most of their time at UVT.
For more information, visit the official program page: Big Data, Data Science, Analytics, and Technologies.
How to Apply?
- You Apply
Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.
- We Connect
After you submit your application, an admissions representative will contact you and will help you to complete the process.
- You Get Ready
Once you’ve completed your application and connected with an admissions representative, you’re ready to create your schedule.