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    LSEPMP 2013 - Learning Science and Engineering Professional Masters Program

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    Website www.lse.cs.cmu.edu | Want to Edit it Edit Freely

    Category LSEPMP 2013

    Deadline: January 31, 2013 | Date: September 01, 2013-September 10, 2013

    Venue/Country: Carnegie Mellon University, U.S.A

    Updated: 2012-11-13 23:24:57 (GMT+9)

    Call For Papers - CFP

    We are pleased to announce a new interdisciplinary professional masters program in Learning Science and Engineering at Carnegie Mellon University. We invite applicants for consideration in the fall 2013 inaugural class of students. Please feel free to print and post the attached poster and forward this email appropriately.

    Taught by leaders in the fields of computer science, psychology, and design, this one year masters program is designed for individuals with a background in psychology, education, computer science, design, information technology, and business. Graduates will apply evidenced based learning science research to develop and evaluate programs in formal and informal educational settings including schools, workplaces, homes, museums and involving both face-to-face and online interactions.

    Students who seek the knowledge, skills, and techniques will re-examine the goals of education and assessment and design the future of educational technology. Through case studies and practice on real world problems, students will learn to engineer and implement innovative and effective educational solutions employing "in vivo" experiments and educational data mining techniques. Students will be trained in how to develop continual improvement programs that reliably identify both best practices and opportunities for change. Students will gain depth in psychometric and educational data mining methods, interaction design, cognitive and social psychology principles, design, implementation, and evaluation of educational interventions among others. Graduates of the program will be ready to assume key positions in corporations and private and public universities and schools; they will become designers, developers, and evaluators of educational technologies and learning environments as well as domain experts, learning technology policy-makers, or Chief Learning Officers.

    More information about this exciting new program and the application can be found at http://www.lse.cs.cmu.edu.

    All applicants must have a baccalaureate degree in a related field, with a strong record of academic achievement, from an accredited educational institution and be highly recommended by three references. Applicants must submit a photocopy of the general Graduate Record Examination (GRE) scores along with the completed application (the subject test is not required). Applicants must also request that ETS send an official score report to us at institution code 2074, department code 0402.

    If your native language is not English, you must submit scores for the Test of English as a Foreign Language (TOEFL). Your application will NOT be considered COMPLETE without the TOEFL test. You must also request that ETS send an official score report to us at institution code 4256, department code 78. The application deadline for our next academic year is January 31.

    Online application is now available.

    Application Process

    Please apply online. The Learning Science and Engineering Professional Masters program must receive a submitted application and a $75 application fee no later than January 31. Admission decisions will be emailed in March. Your response is due to us by April 30. All application materials are on our online application site.

    Important Dates

    January 31 - Application Deadline

    March 20 - Application decisions made

    April 30 - Applicants response due

    Tuition

    Tuition is determined by the Carnegie Mellon Board of Trustees. Please visit the Student Service Website and refer to the per semester tuition rates and fees for graduate degree students in the School of Computer Science (SCS). Full-time study is defined as taking at least 36 units or four courses per semester. Most courses are 9 or 12 units. Part-time tuition is charged at a per unit basis.

    Financial Information

    The Learning Science and Engineering Professional Masters program does not provide students with financial support. An excellent source for general information on financial aid can be found at FinAid. The Carnegie Mellon Financial Aid website and the Carnegie Mellon Fellowships and Scholarships Office are also available for assistance and advice on obtaining loans and/or fellowships. Many students have been able to obtain funding or financial assistance from their current employers. Employees of Carnegie Mellon University often receive tuition benefits as part of the benefit package. For current Research Assistant positions and other employment opportunities on campus, please see the Human Resources Staff Job Postings. A small number of Teaching Assistant positions occasionally becomes available for enrolled students who have a computer science background. Please note: if you are employed while enrolled in the Masters program, the length of your program will be most likely extend beyond three (3) semesters. If you plan to be employed while enrolled in the program, please be sure to complete the “Employment Information” section on your application.

    Related Programs

    Because the HCII is a multidisciplinary institute, students can specialize in LSE and work on LSE and HCII research projects from a number of related programs on campus. Some of the related programs are listed here including the professional masters program in human computer interaction also offered by HCII. To find out more about these programs, call the department or see their web pages.

    Professional Programs

    Master of Human Computer Interaction, School of Computer Science

    Master of Software Engineering, School of Computer Science

    Master of Design in Interaction Design, College of Fine Art


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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