The amount of data produced in the world exceeds 2.5 Exabyte a day; communication capabilities increase at a rate of over 30% per year and the amount of information collected increases by 20% annually. The number of data-based applications is large and continuously growing as is the range of fields in which they are applied—medicine, social media, finance, urban planning, smart cities, IOT and more. As a result of the above, the demand for Data Scientists far exceeds the supply.
The curriculum of the BSc Data Science and Engineering degree is the first of its kind in Israel. This is a prestigious flagship program of the Technion founded in light of the meteoric global developments related to working with Big Data and the increasing demand for professionals in this field.
If you have ever wondered: how...
- search engines or recommendation systems work?
- natural disasters or health conditions can be predicted through social networks?
- to identify business opportunities or predict economic changes?
- to predict outbreaks and the spread of epidemics?
- to automatically understand and create natural language texts?
- to analyze DNA sequence encoding?
- operations of hospitals and emergency rooms can be planned efficiently based on demand prediction?
- green transportation in large cities can be planned efficiently?
…. then check us out.
Highlights of the program
- Challenging curriculum
- Sophisticated data-related laboratories in a variety of data types
- Hands-on experience with data from day one and throughout the entire degree
- Faculty members are of the world's leading researchers in data science
- Advanced projects in cooperation with industry
Outstanding students will be exposed early on in their studies to the cutting-edge research of faculty members. The early experience with research projects of these excellent students will lead to higher degrees that will enrich the studies of the students, creating a challenging and satisfying learning environment, preparing the technological leaders of the next generation. In addition, the faculty will provide financial awards to outstanding students during their studies.
What’s in the program
The program aims to train engineers to extract knowledge from data using computerized methods. The knowledge extraction process begins by collecting data, managing and analyzing it and presenting it in a variety of applications. The process is done by creating and integrating analytical models, statistical tools and others, and is based on a wealth of large amounts of data, frequently changing and varying in level of reliability. The training of a data scientist is multi-disciplinary and combines statistics, machine learning, artificial intelligence, economics, game theory, psychology and more. Advanced courses and laboratory work allows specialization in varying types of information, e.g. text, operational, sensory input (events), economic, environmental and epidemiological.
In the curriculum, emphasis has been placed on the integration of theory and practice—in particular, continuous work over the entire degree with Big Data, both within the Technion as well as within leading companies in the industry. Furthermore, during their studies, the students will be exposed to the leading data-based companies in the industry and will engage together with them in exciting and challenging Big Data ventures via both projects and summer internships.
Students are encouraged to enrich the curriculum with an additional minor in entrepreneurship, game theory or economics.
Data scientists are the rising stars of modern industry. Data-based companies such as Google and Facebook, Technological companies such as Intel, brick-and-mortar companies such as Bank Hapoalim and Teva, eCommerce companies such as eBay, startup ventures, small and medium companies interested in using the large amounts of data they have to increase market share, improve service and increase profitability, are all looking to recruit data scientists. In practice, however, data scientists are hard to find. In 2012 the Gartner consultant firm predicted a shortage of 100 thousand data scientists by the year 2020 in America alone. In 2013 McKinsey's Consulting already predicted a shortage of 190 thousand data scientists by the year 2017. This rising demand ensures employment for many years to come for our graduates.
What do they think of us
The Sexiest Job of the 21st Century – Harvard Business Review 2012
Yoram Yaacovi, General Manager, Microsoft Israel R & D Center
"A new program to train and educate data experts is a necessity given the importance of hi-tech to Israel's economy. Such a program can address our growing need for data specialists and data analysts, and can help prepare the future hi-tech employees in Israel for a world where data is abundant and requires insights to decipher it. Such a program can create a differentiator for the Israel hi-tech ecosystem and fuel its growth. "
Dr. Roy Sasson - Chief Data Scientist, Outbrain, Professor of Econometrics, University of Tel Aviv
The Data Science domain is the most interesting and sought after domain in the high-tech industry today. There are a few people today who have the ability to draw insights based on billions of observations ("what's going on right now on social networks?"), are capable of engineering algorithms and robots that improve our quality of life ("machine directions", "Showing Search Results 1–10") and have the ability to personally influence the most important decision makers in the organization, whether small or large, industrial or technological. When I saw this Data Science program at the Technion, I thought to myself - "I wish I could go back in time and do my undergraduate degree there". Good luck to the new students!
Professor Adam Shwartz - Director, Jacobs Technion-Cornell Institute
IE & M at Technion has faculty members with expertise in all related disciplines-statistics, computer science, operations research and psychology, and is thus able to construct a program in a goal-oriented way, providing the best education to produce a Data Engineer.
The course curriculum is outlined on the interne at: ugportal.technion.ac.il