Appeal to Students
   The most important goal of this program is to make sure our students find interesting and well-paying jobs in different areas of artificial intelligence, machine learning and big data analysis. We plan to have a 100% placement rate upon graduation. This would be the most objective and fair evaluation of our program and of our efforts.  
Our students will simultaneously improve/learn/study in three important areas/disciplines. First, big data and artificial intelligence. Second, finance, economics and financial economics. Third, English speaking, writing and presentation skills. All of these would be applied to current events.
   Every course will have one coordinator/professor and at least three guest lecturers — professionals of highest calibre working in finance, economics or law, in different cities, from New-York, London, Frankfurt to Moscow and Dubai. They will travel to Yerevan for a few days to give several lectures. All their profiles will be available on our website. 
   It is important to remember that machine learning has gone through three stages of progress. In the first stage/era, machines could just count things (e.g. calculators). In the second stage/era, machines were programmable, and almost everything is programmable today — from TVs and dishwashers to cars and airplanes. 
   We are now living at the end of the second stage/era of machine learning and are entering the third era — of Artificial Intelligence  — when the machine is not simply programmable, but it learns from the past, adapts to the present and tries to predict the future, just like humans do. The crucial part of this is that machines, unlike people, are unbiased. 
   Human brains are heuristic — prefer shortcuts— and incapable of quickly, correctly and optimally processing all the data/information currently available. History teaches us that humans tend to make very stupid decisions, because of systemic errors, prejudices and cognitive biases. There is a lot of research proving that normally bright people can make very irrational decisions due to “tunnel vision, tribalism and other mental biases” (we will learn and study these biases in our Behavioural Finance and Economics course). 
   Artificial intelligence can offset these biases by adding objectivity to human decision-making.  Machines draw together all available information and form millions of hypotheses, and then test them with all the data. Machines with artificial intelligence learn over time, figure out what data is reliable (e.g. via back-testing), and that’s part of the learning process. These machines can detect trends and determine causalities faster and better than humans.
   Finance is probably the only field which has such a rich, diverse, reliable, comparable and readily available collection of data. We don't have to waste our time on collecting and cleaning databases. Instead, we will focus on data analysis, modelling and machine learning. Once students build and improve their knowhow of artificial intelligence and big data analysis in finance, they can apply it to any other field — health care, logistics, operations management and so on.
   This program is modern and carefully structured. Students will need to work very hard and be disciplined. We will be investing a lot of our time, efforts and money into this program because we want our students to be among the best in the world. We will, therefore, be very demanding. 
News
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RAU and USERN Signed an MoU
2610/18
According to the MoU, the parties will expand collaboration in research and education, including organization scientific programs, meetings, workshops and conferences, scholar exchange.
More
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    [block_title] => RAU Students Won the Armenian Inter-university Chemistry Olympiad
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RAU Students Won the Armenian Inter-university Chemistry Olympiad
2301/19
According to RAU student Lana Karapetyan the key to their success was teamwork.
More
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RAU Celebrates World Hindi Day
2603/19
The event attracted students interested in the Indian culture, students of the Indian community residing in Armenia, staff from the Embassy of the Republic of India in Armenia, professors and lecturers in Oriental Studies.
More
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RAU Hosted an International Training on the Issues of Migration
0204/18
The training on Socio-Economic Issues of Migration was organized within the Erasmus+ project "Promoting Migration Studies in Higher Education" (PROMIG).
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    [block_title] => Startup Kamurj Designed by RAU Students Won in the Semi-final of the International Competition “Eurasian Digital Platforms”
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Startup Kamurj Designed by RAU Students Won in the Semi-final of the International Competition “Eurasian Digital Platforms”
1210/18
The startup Kamurj is a digital platform intended to help suppliers of raw materials and producers of goods in the EAEU to cooperate across borders.
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    [block_title] => RAU IMCS Summer School in Tsaghkadzor
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RAU IMCS Summer School in Tsaghkadzor
1807/19
This summer school was the first step towards the upcoming programming competitions this fall.
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