{"id":159632,"date":"2016-05-10T16:40:13","date_gmt":"2016-05-10T20:40:13","guid":{"rendered":"http:\/\/www.rochester.edu\/newscenter\/?p=159632"},"modified":"2016-05-17T10:05:45","modified_gmt":"2016-05-17T14:05:45","slug":"rochesters-first-data-science-graduates-delve-into-big-data-159632","status":"publish","type":"post","link":"https:\/\/www.rochester.edu\/newscenter\/rochesters-first-data-science-graduates-delve-into-big-data-159632\/","title":{"rendered":"Rochester’s first data science graduates delve into big data"},"content":{"rendered":"

When it comes to tackling social problems and fueling business, experts agree that data\u2014the vast volume of data that the digital world generates\u2014increasingly is indispensable, a resource that scholars, business leaders, and consumers have only begun to tap.<\/p>\n

In response a new field has emerged, called data science. It\u2019s the creation and application of new methods for collecting, curating, analyzing, and making discoveries from large-scale data, in areas such as energy and the environment, economics and politics, health care, and marketing. The areas of application are only limited, really, by data scientists\u2019 imaginations.<\/p>\n

\"kelly-he-thumb\"<\/a>\"Ian<\/a>\"thumbnail-Trine-Margetic\"<\/a>\"Francesca<\/a>\"Tiffany<\/a>
\n
This spring, the inaugural crop of students in Rochester\u2019s new data science programs\u2014at the undergraduate and master\u2019s degree levels\u2014are completing their first year of study at the Goergen Institute for Data Science<\/strong><\/a>, a program of the Schools of Arts & Sciences. Some are completing their degrees, having finished a year of graduate study or having gotten started early by taking prerequisites for an undergraduate degree. Others are just beginning. But what unites them all is an enthusiasm for discovering ways to make the most of information.<\/p>\n

\u201cWe want to teach the students the fundamentals\u2014computer science and statistics\u2014and then let them explore some of the applications in different areas. That\u2019s what I think is unique,\u201d says Henry Kautz \u201987 (PhD), the Robin and Tim Wentworth Director of the Goergen Institute for Data Science and a professor of computer science. He notes that programs emerging at other schools are often more specialized\u2014dedicated to business analytics or health analytics, for example\u2014but that the Rochester program provides a strong foundation for every area of focus.<\/p>\n

Having a degree in data science \u201ctells employers that these are people with a broad range of skills on the statistics side and the computer science side. They\u2019re highly in demand,\u201d he says.<\/p>\n

That\u2019s something to which Greg Munves \u201904 can attest. He\u2019s president and chief operating officer of 1010data, a New York\u2013based company dedicated to big-data discovery and data sharing. \u201cYou need folks with Renaissance skills,\u201d he says. \u201cSo instead of searching through people deep in computer science but with a little statistics or math, now you get people who have just the right amount of proficiency in each of those disciplines.\u201d<\/p>\n

Two of this year\u2019s graduates are headed to 1010data. \u201cFor the size company we are, we have a disproportionate number of U of R alumni involved,\u201d says Munves. \u201cWith the advent of the data science program, it\u2019s become even more relevant for us to look to U of R for good talent.\u201d<\/p>\n

And once the program was launched last fall, students voted with their feet. Original predictions for the program\u2019s first year were for five graduate and 12 undergraduate students. Instead, year one brought 26 and 30 enrollees, respectively. And those numbers could double next year, says Kautz.<\/p>\n

The long-term goal for the master\u2019s degree program is 50 students\u2014the number for which the lab space was designed. For the undergraduates, there is no ceiling.<\/p>\n

\u201cWe\u2019ll grow the program as much as the students demand,\u201d Kautz says.<\/p>\n

\"Kelly-He\"<\/h2>\n

Ling (Kelly) He \u201917<\/h2>\n

Degree: Bachelor\u2019s in data science
\nData science concentration area: Computer science, statistics, and mathematics
\nHometown: Hangzhou, China<\/h3>\n

When Ling (Kelly) He \u201917 arrived at Rochester, she was thinking about majoring in economics or math. But she also became interested in the concept of \u201cbig data\u201d\u2014the huge data assets generated by digital life that can reveal important patterns. When she learned that the University was kicking off a new program, she wasted no time in signing up. Now she\u2019s a double major in data science and mathematics, with a minor in Spanish.<\/p>\n

Last summer, He began doing research under Jiebo Luo, an associate professor of computer science with expertise in data mining, machine learning, and other areas of investigation for data science. The project to which she contributed used data collected from social media to connect students who aren\u2019t interested in STEM\u2014science, technology, engineering, and mathematics\u2014with people who could nurture their curiosity.<\/p>\n

\u201cIt\u2019s amazing how you can make use of resources to find a pattern, or do something for the social good or for other applications in real life,\u201d He says.<\/p>\n

She didn\u2019t know much about issues surrounding STEM education when she first joined the project, but now, she says, she\u2019s \u201cmore passionate about it\u201d than she ever thought she would be. \u201cI can see the power of data science because I know more about it.\u201d<\/p>\n

This summer she has an internship in New York City with business-management consulting firm Ernst & Young, in a technology-advisory program of the company\u2019s financial services office.<\/p>\n

\u201cThere\u2019s a lot to learn. It\u2019s a new field with a lot coming out really quickly. It\u2019s very fast-paced. Sometimes it can be overwhelming because we\u2019re still learning the basic techniques.<\/p>\n

\"Ian<\/p>\n

Ian Manzi \u201918<\/h2>\n

Degree: Bachelor\u2019s in data science
\nData science concentration area: Economics
\nHometown: Kigali, Rwanda<\/h3>\n

Ian Manzi \u201918 has been intrigued by computers ever since he was a child. But it\u2019s not computers alone that spark his interest.<\/p>\n

\u201cA lot of people think of people interested in computer science as \u2018antisocial\u2019\u2014people and machines. But I am not that,\u201d he says. \u201cI feed off the energy of being with people.\u201d<\/p>\n

He\u2019s convinced he has found an ideal fit in data science for his analytical mind and gregarious personality.<\/p>\n

Manzi arrived at Rochester unsure of what he wanted to pursue. He started with a major in computer science, but he found it too abstract. And so he moved this year to data science, which he says keeps the quantitative aspects of programming that appeal to him but also offers more opportunities for practical problem-solving.<\/p>\n

Last year he completed an internship as an operations manager in his hometown of Kigali, Rwanda, helping local schools to transition to digital record-keeping.<\/p>\n

\u201cMarketers and programmers don\u2019t speak the same language,\u201d he says. \u201cI understand both, and I helped the project to grow.\u201d<\/p>\n

It\u2019s the act of communication that seems to fascinate Manzi most. He says that he wants to create computer platforms that help people converse across disciplines. \u201cThe answers we need for societal problems may be on the \u2018other side\u2019\u2009\u201d of divisions, he says, and communication is essential.<\/p>\n

Fostering conversations and looking for answers is something he knows a thing or two about. This spring, Manzi and Derrick Murekezi\u00a0\u201919, a geology major from Nyagatare, Rwanda, received a $10,000 grant from Davis Projects for Peace, a competitive national program that promotes peace and intercultural understanding. The two will use the funding to implement their summer project, \u201cCritical Thinking for Peace: Sustaining Peace in Post-Conflict Regions,\u201d in Rwanda this July. They\u2019ll plan, set up, and operate a young leaders\u2019 peace camp for high school students, where camp-goers will reflect on Rwanda\u2019s 1994 genocide.<\/p>\n

And while he didn\u2019t conceive of the project as having a data science dimension, he\u2019s beginning to see ways that he might potentially work that in.<\/p>\n

One thing data science has cultivated in him, he says, is the \u201cability to relate to different fields.\u201d<\/p>\n

\"Anthony<\/p>\n

Anthony Margetic \u201916<\/h2>\n

Degree: Bachelor\u2019s in data science
\nData science area of concentration: Biology
\nHometown: Syosset, New York<\/h3>\n

Tyler Trine \u201916<\/h2>\n

Degree: Bachelor\u2019s in data science
\nData science area of concentration: Brain and cognitive sciences
\nHometown: Wolcott, New York<\/h3>\n

This summer, two of the data science program\u2019s first new graduates will be headed to Manhattan, to begin working at data discovery and sharing company 1010data.<\/p>\n

Anthony Margetic \u201916 and Tyler Trine \u201916 got their feet wet at the company last summer, when they were interns there.<\/p>\n

\u201cIt was exciting to be there for just two and a half months,\u201d says Trine. \u201cI want to go along for the ride.\u201d<\/p>\n

They\u2019re already off to a roaring start, having devoted themselves to the program the year before it was even launched, structuring their schedules to get prerequisites out of the way before the program began. \u201cIt\u2019s been a jam-packed two years,\u201d says Trine.<\/p>\n

But those two years have given them a new way of seeing the world. \u201cData science is a way of thinking,\u201d says Margetic. \u201cYou want to get to the questions that no one else is looking for.\u201d<\/p>\n

It\u2019s the fluidity and interdisciplinarity of data science that first drew him. \u201cI love learning about all kinds of stuff. I didn\u2019t want to be stuck in one field,\u201d he says.<\/p>\n

For Trine, discovering the field of data science was finding an intellectual home for the kind of thinking he was already doing. He had started reading philosophy and picked up a book on semiotics, the study of how we make meaning. The linguistics minor was intrigued by \u201cwhat it means to be informed,\u201d he says. \u201cIt became a preoccupation. I wanted to understand how people do it on a deep level, how we take in rich sources of information intuitively.\u201d<\/p>\n

Says Trine, \u201cIt used to be that data was scarce, and the main enterprise was squeezing the most out of it. Now we\u2019re data-rich, but still information-poor.\u201d Data scientists like Margetic and Trine hope to change that.<\/p>\n

Margetic says that having the phrase \u201cdata science\u201d attached to a degree helps set him apart because it highlights a breadth of skills. \u201cIf you\u2019re a math person or an engineer, you have a subset of the skills I have as a data scientist.\u201d<\/p>\n

\"Francesca<\/p>\n

Francesca Romano \u201916 (MS)<\/h2>\n

Degree: Master\u2019s in data science
\nData science area of concentration: Computation and statistical methods
\nHometown: Rotterdam, New York<\/h3>\n

When Francesca Romano was an undergraduate at Siena College, she majored in math, with a minor in computer science.<\/p>\n

\u201cThe thing I loved about math, the thing that drew me to it, was using my problem-solving skills and applying them to all kinds of problems,\u201d she says.<\/p>\n

Data science seemed to her the best way to continue to do that. This spring, the Rotterdam, New York, native is earning her master\u2019s degree in the field.<\/p>\n

\u201cIt\u2019s made me confident in my analytic and programming abilities. Everything that we\u2019re learning, we can apply to all sorts of different problems\u2014health care, market research. It\u2019s a really diverse degree.\u201d<\/p>\n

Although opportunities are plentiful, job hunting can actually be tricky, she says. While a lot of employers are realizing they need to hire people to help them make data-driven decisions, they\u2019re not yet experienced in how to describe what they\u2019re looking for. \u201cI had to be creative in seeing what companies are calling these positions,\u201d she says.<\/p>\n

Her creativity has paid off. She\u2019s accepted a position in cardiovascular services at Ellis Hospital in Schenectady, New York, where she\u2019ll be analyzing data from cardiovascular patients to identify trends or patterns that may be useful to the hospital in providing care.<\/p>\n

\u201cSociety is becoming more and more tech-savvy and technologically advanced,\u201d she says. \u201cWe\u2019re collecting massive amounts of data, from phones, from everything we buy online, and more. Even if you\u2019re not totally aware of what data science is and how it applies to you, I think it\u2019s important to know that it\u2019s become an important part of business and decision making.\u201d<\/p>\n

One thing Romano particularly likes about Rochester\u2019s program is the range of students. \u201cI think it\u2019s been great that the first year they accepted people from so many different backgrounds,\u201d she says. \u201cIt\u2019s been really nice to see that everybody has a bit of a different strength\u2014and that we can combine our strengths to accomplish something.\u201d<\/p>\n

\"Tiffany<\/p>\n

Tiffany Sinclair \u201915, \u201916 (MS)<\/h2>\n

Degree: Master\u2019s in data science
\nData science area of concentration: Health care
\nHometown: Evanston, Illinois<\/h3>\n

Wherever you turn, data science is there, says Tiffany Sinclair \u201915, who this spring is completing her master\u2019s degree in data science.<\/p>\n

\u201cIt really is in every field,\u201d she says. \u201cWe\u2019ve collected so much information over the decades, and now we finally have the ability to do something with it.\u201d<\/p>\n

For Sinclair, that something is contributing to public health. Her goal is to become a data analyst in a health-related position, and she plans to find opportunities to travel and examine how health care works in different countries.<\/p>\n

The master\u2019s program concentrates on methods, she says, teaching students how to glean useful information from data and how to apply those skills in different areas.<\/p>\n

Sinclair says she\u2019s always loved problem-solving and sorting through information to find meaning and draw conclusions. Studying data science has only sharpened those skills.<\/p>\n

\u201cIt\u2019s a lot of fun\u2014and challenging, not having come from a computer science background,\u201d says Sinclair, who as an undergraduate was a biology major and favored the pharmaceutical and analytical aspects of biology.<\/p>\n

She says her favorite feature of the program is that while the basic concepts stay the same, each class comes at them \u201cfrom a different angle.\u201d<\/p>\n

And it\u2019s exciting to be part of a brand-new field. \u201cI have a sense of knowing so much\u2014and of not knowing anything at all, because everything is still being studied,\u201d she says. \u201cThere\u2019s a sense that the field is really alive, and that you can drive it forward.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"

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