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Data Science Institute | Fox School of Business

February 8, 2023 | Author: admin

School or College AbbVieAccentureAgilentAlba Advisors, LLCAmalgamated BankAmentumAmerigroup CorporationAncillare Inc.Anthem Inc.APL LogisticsApogee Solutions Inc.Apple Arrive / American UniversityAssociated Services for the Blind and Visually ImpairedBay Path UniversityBilkent University, TurkeyBSA Technologies Burr Pilger Mayer / San Jose Sports Hall of FameBusiness Development UniversityCalifornia State University, San BernardinoCapital GroupCedar Cove Healthcare Management GroupCenter for Applied Research in Decision MakingCentral Connecticut State UniversityCentric Bank Lancaster County Loan Production OfficeCFARCitizens BankCM Analytics, LLCCollege of Education and Human DevelopmentComcastComcast Business ServicesComcast NBC UniversalCommonwealth of PennsylvaniaCompanyCSCCSL BehringCurits Institute of MusicDagda CorpDavid Brown Jr. Enterprises, LLCDenovoNowDepartment of DefenseEpith PartnersERTESE Business SchoolFederal Communications Commission Fenway Management Advisors (FMA)Financial Process AdvisorsFox School of BusinessFox School of Business and ManagementFriedman LLPGartnerGenerale de Banque de MauritnieGSK Haven Partners, LLCHealth KinectHofstra University Holy Redeemer Health SystemHomeward Residential CapitalIllinois Tech College of ComputingIndigo Strategic Marketing Group, LLCInterdisciplinary StudiesIpsos/MMAJanssen PharmaceuticalsJim Smith Jr. International / Temple, Rushford Business School, Rutgers UniversityJohnson & JohnsonKPMGKPMG U.S.La-Z Boy IncorporatedLAIR EntertainmentLancaster General Health/Penn MedicineLBD Financial CenterLehigh University School of BusinessLevLane AdvertisingLicenseFortressLincoln Financial GroupLiquid HubLiquidHubLoyola UniversityLUISS Business SchoolMaine Maritime Academy / Manchester Community College, University of ConnecticutMcCallister ConsultingMercerMetro Mattress Corp.Miami University Farmer School of BusinessMichigan State Univerisity / Evros Properties LLCMMCO Auto LLCMonmouth UniversityMuckleshoot Indian TribeNCH Healthcare SystemNYC Health & HospitalsOffice of Development and Alumni RelationsOpportunity Finance NetworkOregon State University College of BusinessParsonage Consulting, LLCPartner, Pivot88PayliancePenn State UniversityPerspectaPhiladelphia International MedicinePhlow CorporationPinnacle Performance Group / Temple University, Rowan University, Jefferson University School of BusinessPolice and Fire Federal Credit Union, PhiladelphiaPolicy MapPresident - Barone AssociatesQuantic School of Business and TechnologyReinvestment FundRTI InternationalRuskat Medical Equipment Corp.Rye Electric Inc.Sandi Webster LLCSchool of Sport, Tourism and Hospitality ManagementSEIShanghai International Studies UniversitySmartBearStockton UniversityStrat 360Strategic Clarity AdvisorsSuffolk UniversitySWK TechnologiesTangerine StrategiesTemple UniversityTemple University HospitalTennessee Valley AuthorityThe Business Route, Do It Better WellnessTThe CitadelThe Vanguard GroupThink CompanyTurnkey Resources / Baruch CollegeU.S. Army / Horvath Consulting U.S. Customs and Border Protection (Department of Homeland Security)U.S. Naval Research LaboratoryUltraRADUniversity of Cincinnati Lindner College of BusinessUniversity of Colorado-BoulderUniversity of Pennsylvania Healthcare SystemUniversity of South Carolina UpstateUniversity of St. Gallen, SwitzerlandVeristaVmareVox Medica, RetiredWashington Area Community Investment Fund, Inc.Wawa Inc. Wells Fargo Audit ServicesWharton School, University of PennsylvaniaWITF Inc.York College of Pennsylvania/ Llmaria Zoomi, Inc. and Myota, Inc.

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Data Science with Concentration in Computational Analytics, B.S.

February 8, 2023 | Author: admin

Learn more about the Bachelor of Science in Data Science.

Data Science is an interdisciplinary field of study about methods and systems to extract knowledge or insights from large quantities of data coming in various forms. Temple's B.S. in Data Science is designed for students interested in developing expertise in data science. The Computational Analytics concentration provides a strong background in mathematics, algorithmic and computational thinking, computer systems, and data analysis, and will enable students to analyze large quantities of data to discover new knowledge and facilitate decision making.

Undergraduate Contact Information:

Dr. Jamie Payton, ChairScience Education and Research Center, Room 304215-204-8450

Dr. Gene Kwatny, Vice ChairScience Education and Research Center, Room 304215-204-8450

Dr. Anthony Hughes, Faculty AdvisorScience Education and Research Center, Room 344215-204-7910anthony.hughes@temple.edu

Students must complete all University requirements including those listed below.

All Temple students must take a minimum of two writing-intensive courses at Temple as part of their major.The specific writing-intensive course options for this major are:

45 Upper Level (2000+) credits within the College of Science & Technology (CST), the College of Liberal Arts (CLA), or the College of Engineering (ENG).

90 credits within the College of Science & Technology (CST), the College of Liberal Arts (CLA), or the College of Engineering (ENG).

Courses listed under the major requirements for the degree will be included in the calculation of the major GPA. Courses that could not apply toward the major as an elective or a required course are not counted in the calculation of the major GPA.

To graduate with Distinction in Major, students are required to have a 3.50 or higher grade point average (GPA) both in the major and overall, as well as be recommended by the department of Computer & Information Sciences.

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Data Science with Concentration in Computational Analytics, B.S.

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Data Science with Concentration in Computation and Modeling, B.S …

February 8, 2023 | Author: admin

Learn more about the Bachelor of Science in Data Science.

Data Science is an interdisciplinary field of study about methods and systems to extract knowledge or insights from large quantities of data coming in various forms. Temple's B.S. in Data Science is designed for students interested in developing expertise in data science. The Computation and Modeling concentration provides the tools necessary to create accurate, robust, and detailed models of real systems in a scientific or professional field. A strong core of mathematics, physics, computational methods and techniques, and data analysis will enable students to model any complex physical system. Elective courses will allow students to specialize in a specific area of interest.

Undergraduate Contact Information:

Department of Computer and Information SciencesDr. Jamie Payton, ChairScience Education and Research Center, Room 304215-204-8450

Dr. Gene Kwatny, Vice ChairScience Education and Research Center, Room 304215-204-8450

Dr. Anthony Hughes, Faculty AdvisorScience Education and Research Center, Room 344215-204-7910anthony.hughes@temple.edu

Department of PhysicsDr. Bernd Surrow, ChairScience Education and Research Center, Room 406215-204-7736

Dr. Adrienn Ruzsinszky, Vice ChairScience Education and Research Center, Room 708215-204-8479

Dr. Matthew Newby, Faculty AdvisorScience Education and Research Center, Room 476215-204-2642matthew.newby@temple.edu

Students must complete all University requirements including those listed below.

All Temple students must take a minimum of two writing-intensive courses at Temple as part of their major. The specific writing-intensive course options for this major are:

45 Upper Level (2000+) credits within the College of Science & Technology (CST), the College of Liberal Arts (CLA), or the College of Engineering (ENG).

90 credits within the College of Science & Technology (CST), the College of Liberal Arts (CLA), or the College of Engineering (ENG).

All students in the College of Science and Technology are required to take a one credit first year seminar. SCTC1001 CST First Year Seminar is the appropriate course option for every entering first year CST major. Transfer students should use SCTC2001 CST Transfer Seminar to fulfill this requirement. Other courses that fulfill this requirement may be found on the CST College Requirements page.

Courses listed under the major requirements for the degree will be included in the calculation of the major GPA. Courses that could not apply toward the major as an elective or a required course are not counted in the calculation of the major GPA.

To graduate with Distinction in Major, students are required to have a 3.50 or higher grade point average (GPA) both in the major and overall, as well as be recommended by the department of Computer & Information Sciences.

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Data Science: Computational Analytics Certificate (Undergraduate …

February 8, 2023 | Author: admin

Study big data and machine learning with theUndergraduate Certificate inDataScience: Computational Analyticsin Temples College of Science and Technology. Geared toward students with a strong mathematical and programming background, this undergraduate certificate will aid your career advancement in a number of industries, including biomedical sciences, defense, education and engineering.

Data science is used to make complex decisions in a number of data-rich domains, such as biomedical science, defense and security, education, engineering, geoscience, physical science and social science. As a student, youll learn how to analyze large quantities of data and discover the knowledge necessary to fuel cutting-edge developments. You'll also dig deep into computational analytics through the exploration of techniques and theories steeped in computer science, mathematics and statistics. Your courses will provide you with a strong foundation in algorithmic, computational and statistical thinking as well as the inner-workings of computer systems.

This certificate is available to all undergraduate students and professional non-degree-seeking students.

This undergraduate certificate is ideal for those students who have completed advanced mathematics and computer programming coursework, as well asprofessionals who currently work in fields related to data science.

Undergraduate students can add this certificate to their curriculum.

You must complete 13 to 15 credits in order to receive this certificate. Current undergraduate students must complete 20 credits of specific prerequisite courses prior to adding the Data Science: Computational Analytics Certificate (Undergraduate) to their curriculum. Learn more about the prequisites for this program.

All classes take place at Temple's Main Campus.

In this 13- to 15-credit-hour program, youll complete two courses in computer and information sciences. Classes include

Youll also choose two classes out of two preapproved lists that include

Learn more about Data Science: Computational Analytics courses.

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Data Science: Computational Analytics Certificate (Undergraduate ...

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Data Science with Concentration in Genomics and Bioinformatics, B.S.

February 8, 2023 | Author: admin

Learn more about the Bachelor of Science in Data Science.

Data Science is an interdisciplinary field of study about methods and systems to extract knowledge or insights from large quantities of data coming in various forms. Temple's B.S. in Data Science is designed for students interested in developing expertise in data science. The Genomics and Bioinformatics concentration provides a strong background in mathematics, computational thinking, and biological data analysis, and will enable students to analyze large quantities of data to discover new knowledge and facilitate decision making. This specialization is intended for students interested in biology, ecology, evolution, human health and disease, and precision medicine. Over the past decade, the emergence of next-generation sequencing technologies has facilitated the rapid growth of genomic data; however, undergraduate training in big data management, big data processing, and big data analysis has not kept up with this rapid growth in large-scale biological data generation.

Undergraduate Contact Information:

Dr. Jamie Payton, ChairScience Education and Research Center, Room 304215-204-8450

Dr. Gene Kwatny, Vice ChairScience Education and Research Center, Room 304215-204-8450

Dr. Anthony Hughes, Faculty AdvisorScience Education and Research Center, Room 344215-204-7910anthony.hughes@temple.edu

Dr. Caryn Babaian, Faculty AdvisorScience Education and Research Center, Room 602215-204-1814caryn.babaian@temple.edu

Dr. Sudhir Kumar, Program DirectorScience Education and Research Center, Room 601A215-204-1647s.kumar@temple.edu

Students must complete all University requirements including those listed below.

Temple students must take a minimum of two writing-intensive courses at Temple as part of their major. The specific writing intensive course options for this major are:

Students must complete the General Education (GenEd) requirements.

45 Upper Level (2000+) credits within the College of Science & Technology (CST), the College of Liberal Arts (CLA) or the College of Engineering (ENG).

90 credits within the College of Science & Technology (CST), the College of Liberal Arts (CLA) or the College of Engineering (ENG).

All students in the College of Science and Technology are required to take a one credit first year seminar. SCTC1001 CST First Year Seminar is the appropriate course option for every entering first year CST major. Transfer students should use SCTC2001 CST Transfer Seminar to fulfill this requirement. Other courses that fulfill this requirement may be found on the CST College Requirements page.

Courses listed under the major requirements for the degree will be included in the calculation of the major GPA. Courses that could not apply toward the major as an elective or a required course are not counted in the calculation of the major GPA.

To graduate with Distinction in Major, students are required to have a 3.50 or higher grade point average (GPA) both in the major and overall, as well as be recommended by the department of Computer & Information Sciences.

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Geospatial Data Science PSM | Temple University

February 8, 2023 | Author: admin

Expand your expertise in geospatial analysis with theProfessional Science Masters(PSM)in Geospatial Data Sciencein Temple Universitys College of Liberal Arts. One of the first of its kind in the U.S., this 30-credit masters program is specifically designed to traindata scientists andgeographic information systems (GIS) professionals with geospatial analysis,programming andadvanced analytical skills.

Data science is a growing field with roots in computer science, mathematics and statistics. It can be applied across disciplines and industries for which spatially referenced data informs prediction and decision-making, including climate adaptation, urban and environmental planning, retail and business location, and spatial epidemiology. This degree emphasizes advanced statistics and computer programming to meet the increasing demand for professionals with expertise in these areas.

Geography and Urban Studies Department faculty have extensive experience in

Students learn the fundamentals of geospatial data science as well as the latest trends in the field. The programs faculty imparts an in-depth understanding of ethics, preparing studentsto put them into practice in their careers.

Coursework addresses the geospatial aspects of core data science competencies in big data analytics, machine learning and simulation. Youll useindustry-standard tools such as SQL, R, Python and other emerging technologies, with an emphasis on open source tools, social coding and reproducible research.

Many of the programs courses focus on programming and include peer review, code walkthroughs and live demonstrations of coding projects. Youll learn to write documentation and leverage social coding platforms such as GitHub to share and publicize your work.

The Geospatial Data Science PSM distinguishes itself from the Geographic Information Systems PSMthrough a specific emphasis on big data handling, data mining, geospatial analytics, machine learning and geosimulation. Compared to the Geographic Information Systems program, the Geospatial Data Science program focuses on advanced statistical knowledge and computer programming. Graduates are trained to work outside the realm of traditional GIS jobs, including in corporate environments.

The Geospatial Data Science PSM program also produces different outcomes from the College of Science and Technologys Computational Data Science MS and the Fox School of BusinesssStatistics and Data Science MSby providing a distinctive focus on geospatial data and spatial analytics and through its curriculum designed for current professionals.

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Geospatial Data Science PSM | Temple University

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Business Analytics MS | Temple University

February 8, 2023 | Author: admin

Gain the skills to transform data into insights and to advance your career in a fast-paced, growing industry with the Master of Science in Business Analytics at Temples Fox School of Business. With its market-driven, customizable curriculum, this program focuses on explanation, interpretation and deep knowledge of data analytics, training translators able to move fluidly from data to decisions and from decisions to profit.

Data-driven decision-making results in positive outcomes for organizations, and the Business Analytics MSleverages the ever-increasing importance of data as a strategic asset. Through case studies, coursework and real-world projects, you will acquire advanced skills and techniques that can provide data-driven insights into business problems.

Business Analytics MS graduates are prepared to meet the growing demand for talent in the data science space: analyzing, deriving, discovering, managing and predicting insights from the complex data available to modern corporations. Shape your ideal career through this flexible degree program, which is offered via classes at Temples Center City Campus.

The Master of Science in Business Analytics will equip you with the knowledge and practical expertise to make an immediate impact on your career and set you on the path to long-term professional success.

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Business Analytics MS | Temple University

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Bioinformatics and Biological Data Science PSM

February 8, 2023 | Author: admin

COLLEGE OF SCIENCE AND TECHNOLOGY

Learn more about the Professional Science Master's in Bioinformatics and Biological Data Science.

Bioinformatics and Biological Data Science are the disciplines of science where computers are joined with the latest discoveries in genomics, biochemistry and biophysics. These rapidly growing fields bring together elements of biology, chemistry, computer science, physics and statistics. The Bioinformatics and Biological Data Science degree at Temple University, a leader in the field, is a two-year Professional Science Masters (PSM) degree that features:

Time Limit for Degree Completion: 2 years

Campus Location: Main

Full-Time/Part-Time Status: The degree program can be completed on a full- or part-time basis. Most of the classes are offered in the evenings or on weekends to enable full-time working professionals to be enrolled in the program.International students are required to register as full-time students.

Interdisciplinary Study: Students in the Temple University Bioinformatics and Biological Data Science masters degree program benefit from an advanced curriculum developed by leading Temple faculty in the Departments of Biology, Chemistry, and Computer and Information Sciences. The program has been designed to provide students with extensive skills in computer programming as well as deep knowledge in genomics and structural biology. All three areas are required in this challenging and exciting field. Because the degree is a Professional Science Master's, the program also offers:

Accreditation: Temple University is fully accredited by the Middle States Commission on Higher Education.

Areas of Specialization: The PSM degree program offers concentrations in:

Students selecting a concentration are required to take the two courses (6 credits) listed under the chosen concentration on the Program Requirements grid. Students may also opt to take one course from each concentration and thereby complete the requirements for the degree without a transcripted concentration.

Job Prospects: Official job placement is not offered, but Bioinformatics and Biological Data Science are areas of rapid job growth and have become essential parts of healthcare research and the biotechnology and pharmaceutical industries. Graduates of PSM programs are in high demand, underscoring the PSM as an attractive career path for those who do not wish to become academic researchers or pursue a doctorate.

Non-Matriculated Student Policy: Non-matriculated students may enroll in a total of three courses (9 credits) with permission of the instructor and the Biology Department.

Financing Opportunities: Financial assistance in the form of Research or Teaching Assistantships is not offered at this time.

Application Deadline:

Fall: March 1; December 15 international

Late applications may be considered for admission.

APPLY ONLINE to this graduate program.

Letters of Reference:Number Required: 2

From Whom: Letters should be obtained from college/university faculty or faculty who are familiar with the applicant's competency. If the applicant has an established career in a related field, the applicants immediate supervisor should provide one of the letters.

Coursework Required for Admission Consideration: Applicants should have a strong background in one or more STEM fields: Science, Technology, Engineering and Mathematics.

Bachelor's Degree in Discipline/Related Discipline: The Bioinformatics and Biological Data Science PSM program has been designed for recent graduates and professionals who have a bachelor's degree or equivalent in a STEM field.

Statement of Goals: In approximately 500 to 1,000 words, specify your interest in the Bioinformatics and Biological Data Science PSM program, career goals, and academic and professional achievements.

Standardized Test Scores:GRE: Required. A combined minimum score of 305 on the quantitative and verbal reasoning sections is expected.

Applicants who earned their baccalaureate degree from an institution where the language of instruction was other than English, with the exception of those who subsequently earned a masters degree at a U.S. institution, must report scores for a standardized test of English that meet these minimums:

Interview: An in-person or SKYPE interview is required.

Transfer Credit: Graduate credits from an accredited institution may be transferred into the Bioinformatics and Biological Data Science PSM program. The credits must be equivalent to coursework offered by the Biology Department at Temple University. A grade of "B" or better must have been earned for the credits to transfer. The PSM in Bioinformatics and Biological Data Science Steering Committee makes recommendations to the Department Chair for transferring credit on an individual basis. The maximum number of credits a student may transfer is 6.

General Program Requirements:Number of Credits Required Beyond the Baccalaureate:30

Required Courses:

Culminating Events:Capstone Project:BIOL9995Capstone Project constitutes a culminating event of the Bioinformatics and Biological Data Science PSM and requires the submission of a written project and oral presentation of the results. Capstone research may be completed in any laboratory at Temple University at the invitation of the Principal Investigator (PI) or through an internship/co-op/full-time job in the field of Bioinformatics or Biological Data Science in industry, the healthcare system, or a government agency. Since all Bioinformatics and Biological Data Science PSM classes are offered in the evening, students can avail themselves of these opportunities during the day. The process of locating internships is facilitated by the Bioinformatics and Biological Data Sciences PSM program based on the choice of optional concentration, specific research and career interests of the individual student.

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Bioinformatics and Biological Data Science PSM

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What’s next for quantum computing | MIT Technology Review

February 8, 2023 | Author: admin

For years, quantum computings news cycle was dominated by headlines about record-setting systems. Researchers at Google and IBM have had spats over who achieved whatand whether it was worth the effort. But the time for arguing over whos got the biggest processor seems to have passed: firms are heads-down and preparing for life in the real world. Suddenly, everyone is behaving like grown-ups.

As if to emphasize how much researchers want to get off the hype train, IBM is expected to announce a processor in 2023 that bucks the trend of putting ever more quantum bits, or qubits, into play. Qubits, the processing units of quantum computers, can be built from a variety of technologies, including superconducting circuitry, trapped ions, and photons, the quantum particles of light.

IBM has long pursued superconducting qubits, and over the years the company has been making steady progress in increasing the number it can pack on a chip. In 2021, for example, IBM unveiled one with a record-breaking 127 of them. In November, it debuted its 433-qubit Osprey processor, and the company aims to release a 1,121-qubit processor called Condor in 2023.

But this year IBM is also expected to debut its Heron processor, which will have just 133 qubits. It might look like a backwards step, but as the company is keen to point out, Herons qubits will be of the highest quality. And, crucially, each chip will be able to connect directly to other Heron processors, heralding a shift from single quantum computing chips toward modular quantum computers built from multiple processors connected togethera move that is expected to help quantum computers scale up significantly.

Heron is a signal of larger shifts in the quantum computing industry. Thanks to some recent breakthroughs, aggressive roadmapping, and high levels of funding, we may see general-purpose quantum computers earlier than many would have anticipated just a few years ago, some experts suggest. Overall, things are certainly progressing at a rapid pace, says Michele Mosca, deputy director of the Institute for Quantum Computing at the University of Waterloo.

Here are a few areas where experts expect to see progress.

IBMs Heron project is just a first step into the world of modular quantum computing. The chips will be connected with conventional electronics, so they will not be able to maintain the quantumness of information as it moves from processor to processor. But the hope is that such chips, ultimately linked together with quantum-friendly fiber-optic or microwave connections, will open the path toward distributed, large-scale quantum computers with as many as a million connected qubits. That may be how many are needed to run useful, error-corrected quantum algorithms. We need technologies that scale both in size and in cost, so modularity is key, says Jerry Chow, director at IBMQuantum Hardware System Development.

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What's next for quantum computing | MIT Technology Review

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