Studies type:

Postgraduate studies

Study mode:

online

Study duration:

1 Year (2 semesters)

Location:

Warsaw

Language of studies:

English

University:

Vistula University

Contact

Phone no.: +48 22 45 72 363
E-mail address: studiapodyplomowe@vistula.edu.pl

  • SILICON VALLEY EXPERIENCE IN EUROPE in partnership with Magnimind

    Overview

    Vistula University from Warsaw, Poland, and Magnimind Academy from Silicon Valley offer a dual postgraduate and certificate program. This joint program is designed to create technical teams of excellent skill sets to meet the industry-specific needs of companies.

    There is a shortage of skilled data scientists to meet the business needs of today and the gap is set to widen in the future. With our customized training, you can fill this gap by getting trained by scientists and engineers from Silicon Valley. The program will provide you the most essential skills and tools that are needed in top-notch companies in the world.

    Our program offers Data Analytics, Python, Data Visualization, Applied Machine Learning and Deep Learning courses as well as seminars and interview practices which will equip you with the most recent technologies that will prepare you for the job market.

    Program duration: 16 weeks, a total of 200 hours.

    Highlights

    • Python and Data Analysis
    • Portfolio building with real-life projects
    • Data Cleaning and Data Wrangling
    • Machine Learning Basics (Supervised/Unsupervised Learning)
    • Deep Learning using Keras and Tensor Flow
    • NumPy, Pandas, Seaborn
    • Seminars from expert data scientist
    • Practice interviews
    • Career Coaching

    What is this program offering?

    Anyone interested in the following:

    • Skill set to become a top notch data scientist
    • Industry-focused curriculum
    • Mentors and instructors from Silicon Valley
    • Exposure to the ecosystem of big tech companies
    • Postgraduate degree from Vistula University
    • Certificate from Magnimind Academy

    Program Objectives

    • To Identify, compare, and effectively practice various Al algorithms on data.
    • To recognize the landscape of most recent data science tools, libraries, and their applications.
    • To practice industry preferred Machine Learning packages with hands-on experience.
    • To provide solutions to companies with well-trained project groups.
    • To examine the most recent technologies in the Silicon Valley ecosystem.
    • To summarize and communicate findings to general audience.

    How you will learn

    • Learn

    Discover new tools and concepts through expert-led discussions and lectures.

    • Practice

    Complete hands-on analytical and programming exercises to strengthen newly acquired skills. Apply your knowledge to real-life projects. Work with instructors/mentors from world-class companies.

    • Apply

    Apply you learning to meet industry-specific needs. Receive tailored guidance, feedback, and support from your expert instructional team.

    • Sustain

    Receive lifetime support from the Magnimind Network. Overcome your challenges with the help of our mentors from Silicon Valley Companies (Google, Apple, etc.). Build a sustainable development environment.

  • Data Analytics & Visualization

    • Have an intermediate level of Python programming
    • Use the NumPy library to create and manipulate arrays
    • Learn the Pandas module to create and structure data
    • Data visualizations using matplotlib and the seaborn modules with python
    • Build a portfolio of various data analysis projects

    Machine Learning

    • Learn machine algorithms
    • Understand the mathematics behind Machine Learning
    • Gain expertise in Statistical Analysis and Python libraries including NumPy, Pandas, Matplotlib and Seaborn
    • Implement data science skills to real-life projects
    • Build up your resume in-demand data science skills

    Deep Learning

    • Learn Neural Networks and advanced deep learning algorithms
    • Learn CNN, RNN & LSTM algorithms
    • Implement deep learning using Python and Tensorflow
    • Apply your skills on real-life projects

    AI Seminars

    • We will bring speakers from Silicon Valley to talk about most exciting and latest technologies emerged from the Valley. Students will have insights on what is happening in big tech companies and how AI is implemented in the projects. They will hear about work environment, trending technologies and ongoing opportunities.

    Interview Practice

    • During the program, there will be interview questions and answers session. Questions will be based on Silicon Valley standards. Interview style will be similar to what top tech companies are using to understand candidate skills. Students will sharpen their skill set and be able to position themselves in a competitive job market.
  • Degree & Certification

    Any participant who graduates from our programs will be able to get postgraduate diploma from Vistula University, the course completion certificate and become a Magnimind Academy alumna.

     

    Project Help and Guidance

    Your immediate data science projects may have different needs – from data acquisition, data mining, and data manipulation to visualization, predictive modeling, drawing insights from data, using ML deployment tools, etc.

     

    Become a Part of Vistula University and Magnimind Network

    We provide lifetime access to our alumni where they can ask their questions to our mentors and instructors. Our mentors and instructors help alumni for the projects they work on and provide support where it is needed. Thus, we promise you a lifetime of learning and growth. Vistula University has a great network in Europe and since your bootcamp completion certificate is backed by Magnimind’s solid reputation in the industry at Silicon Valley, it will endorse your eligibility and make you a coveted candidate in today’s extremely competitive job market.

  • DR. MURAT BADAY:
    Murat Baday is Stanford Scientist and the co-founder of Smartlens – a clinical-stage medical technology company that envisages the prevention of blindness due to Glaucoma. Dr. Baday obtained his Ph.D. in Computational Biology and Biophysics from the University of Illinois at Urbana-Champaign and his M.S. in Physics from the University of Pittsburgh. Dr. Baday has been working on cancer research at Stanford Research at Bioengineering and Radiology departments since 2013. Dr. Baday is co-founder/advisor of several startups. He has studied computational particle physics at Cornell University. Dr. Baday has great expertise in several fields including in Machine learning, Deep Learning, Statistics, and Bioinformatics.

     

    PAUL STARRETT:
    Paul is a licensed private investigator (CA, IL) and attorney (CA) specializing in high-profile investigations and legal consulting especially where electronic data is central. He is founder and CEO of Starrett Consulting, Inc., a full-service investigations firm that leverages API’s from open-source and commercial data- science applications to analyze structured and unstructured data. He is former General Counsel and Chief Global Risk Officer of an international, publicly-held data management corporation heading their global legal, operations and risk-management groups. His 25 year career began in law enforcement and corporate security and later progressed into information-security engineering, electronic discovery and information management. Paul’s education includes a Master of Science in Predictive Analytics from Northwestern University and a Master of Laws (LL.M.) in Taxation from Golden Gate University. He is also a Certified Fraud Examiner (CFE) and EnCase Certified Computer Forensics Examiner (EnCE).

     

    MUDASSER SHAIK:
    Mudasser is principal BigData engineer in Ultimate Software, one of the leading HR companies in Silicon Valley. He obtained his Master’s Degree in Information Quality from University of Arkansas at Little Rock He is passionate about Distributed Machine Learning and the intersection of Big Data & Data Science (AI/ML/DL). He possesses extensive working experience in designing and building Distributed Pipelines, Streaming Analytics, Scalable Machine learning Models and solving Data Quality Issues. He presently works as Principal Big Data Engineer at Ultimate Software, where he is responsible for developing, maintaining and evaluating Big data solutions for Data Science Teams. He is in charge of building large-scale data processing systems using Apache Spark, Kafka, Hadoop Eco system with security and compliance enabled across multiple Data centers and GCP.

     

    PROF. YASIN CERAN:
    Prof. Ceran is teaching data science and Machine Learning at Santa Clara University. He completed his Ph.D. in Management Information Systems from the University of Texas at Dallas. He earned his M.S. in Electrical Engineering with a concentration in Telecommunications from the same university and obtained his B.S. in Electrical Engineering. At Santa Clara University, he supervised a large team of software development students working on the Capstone Project. Some of the notable projects he contributed to include the development of a predictive inventory allocation algorithm for Blockbuster with regard to the relationship between sales and customer reviews. His present role involves working on optical DNA sequencing based on actionable big data.

     

    DANE MILLER:
    Over the past five years, Dane has been working as a science educator in Palo Alto. Where he teaches science, builds hands-on science programs, and mentors students. His passion is science! Prior to being a science educator Dane worked in the field of paleontology for 10 years. He worked on several paleontology projects focused on data collections and curatorial work with the Denver Museum of Nature and Science and the Smithsonian National Museum of Natural History. In 2010, he was part of a major paleontological discovery in the state of Colorado’s history. Working with a team from the Denver Museum of Nature and Science, we unearthed a treasure trove of fossils 30,000+ vertebrate fossils from mammoths, mastodons, camels, deer, bison, bear, and many other animals. The discovery of this ice age ecosystem drew news coverage from the New York Times, NOVA, and National Geographic. The fossil conifer cones from this discovery led to his graduate research at the University of Wyoming, Laramie.

     

    Abdullah Karasan:
    Abdullah Karasan was born in Berlin, Germany. After he studied Ecnomics and Business Administration at Gazi University-Ankara, he obtained master’s degree from the University of Michigan-Ann Arbo and his Ph.D. in Financial Mathematics from Middle East Technical University (METU)-Ankara. He worked as a Teasury Controller at the Undersecretariat of Treasury of Turkey. More recently, he has started to work as a Senior Data Science consultant and instructor for companies in Turkey and the USA. Currently, he is a Data Science consultant at Datajarlabs and Data Science mentor at Thinkful.
    He has several published scientific articles and the author of the book in progress titled “Machine Learning for Financial Risk Management in Python”
  • Recruitment rules:

    Admissions to postgraduate studies at Vistula University are on a first-come, first-served basis. Candidates for postgraduate studies submit the following documents by Dream Apply (https://apply.vistula.edu.pl/en_GB/courses/course/572-fullstack-data-science-program/):

    1. original or a copy of a diploma of graduation from the first or second degree studies,
    2. original identity card for verification,
    3. 1 photo in jpg format,
    4. confirmation of advance payment.

     

    Fees:

    Application fee: 50 Euros – by 25 September 2020

    Tuition fee: 2000 Euros – by 25 September

    Studies start in 5 October 2020 and last for two semesters.

    The tuition fee can be paid once or per semester – in two instalments 2 x 1000 Euro:

     

    Account number:

    AKADEMIA FINANSÓW I BIZNESU VISTULA:

    Ul. Stokłosy 3, 02- 787 Warsaw/Poland

    ALIOR BANK S.A.

    Swift Code : ALBPPLPW

    EURO IBAN: PL 58 2490 0005 0000 4600 1686 2929

     

    * Please be advised that in case of too few applicants, the group may not start. However, in the case of a large number of candidates, the order of applications decides about admission to the group.

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Contact to Admissions Office of Postgraduate Studies Department

Postgraduate Studies Department

Phone no. +48 22 457 23 63 or +48 22 457 23 29
e-mail: studiapodyplomowe@vistula.edu.pl

Apply online

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