Science Degrees Online

Sciences holds a unique place within “Lucian Blaga” University of Sibiu through the great variety of competencies and programmes of studies it offers. Focused on promoting a high level of performance, the Faculty of Sciences carries out complex and intense research activities, in concord with the demands and the means offered by a modern information society.

With a view to Romania’s future integration in the European Union, it is important that specialists educated here should be capable of performing activities within community programmes. Thus, knowledge with an interdisciplinary character is necessary to put these programmes into effect. Computer science, Mathematics, Physics, Chemistry, Biology, Sociology and Psychology, as essential areas of knowledge, ensure the acquisition of high-level knowledge with applicability for Science, Technology, Economics etc.

The rapid development and implementation of computer-based technologies in Romanian society implies the promotion of educational methods adapted to the requirements of a highly competitive society, subject to the process of European integration. The Faculty’s management is strongly committed to responsibility, transparency and efficiency; in this respect, computer-based services will make the Faculty meet the international standards of the highly-developed countries.

The medium and long term strategy developed by the Faculty of Sciences starts from objectives directed to the following fields: teaching, research, post-graduate studies, interuniversity cooperation, professional deontology, the social protection of the University community members as well as the development and modernization of its material and technical resources.

The present-day social evolution implies a good understanding and knowledge of the human being in all respects in order to maximize its performance in all fields of activity; these objectives are met by the degree programmes in Psychology and Sociology which ensure an excellent professional training of the students. The Department of Ecology and Environment Protection trains specialists in the following fields : administration of natural capital, territorial planning, environment management and expertise, applied ecology research being an integral part of social-economic development strategies. Students majoring in Physical Education and Sport acquire various skills that will enable them to hold various professional positions in the educational and health systems, in high-performance sport as well as in tourist and leisure activities.

Given the importance of post-graduate studies in the European context, the master programmes organized by the Faculty of Sciences aim at developing creativity and an all-round training of students by interdisciplinary studies: Information and Communication Technology in English, Information Technology Applied to Health Protection, The Psycho-Sociology of Negotiation, Family Social Assistance, Applied Ecology, Mathematical Models and Applied Software, Human Development in a Computerized Society.

A high-quality education is a prerequisite for maximizing career success, for social cohesion and economic competitiveness.

Accreditation Information :
Pre Requisite Courses :
Qualifying Exams :

Tution Fees :
Financial Aid / Scholarship Offered :
Courses :

Accreditation Information :
Pre Requisite Courses :
Qualifying Exams :

Tution Fees :
Financial Aid / Scholarship Offered :
Courses :

Core Requirements 12 courses – 36 credits
To satisfy the requirements for a Natural Sciences Area major, students select one
department in which they take five to six courses (15-18 credits) and two other
departments in which they take three to four courses (8-12 credits) each for a
minimum total of 36 credits. An example program of studies for a student who
chose Computer Science as the major department and Mathematics and Physics
as the minor departments is shown below.
Computer Science
Programming Using C++
Advanced Programming with C++
Introduction to Information Structures
Algorithm Implementation
Computer Organization and Assembly Language
Mathematics
Analytic Geometry and Calculus 1
Analytic Geometry and Calculus 2
Discrete Math
Physics
Basic Physics for Science and Engineering 1
Basic Physics for Science and Engineering 2
Additional Requirements 1 course – 3 credits
After earning 90 credits, all Natural Science Area majors must take the twosemester
capstone sequence offered in Biology or Mathematics.

Facultatea de Stiinte a fost infiintata prin Ordinul Ministrului Invatamantului nr. 7751/4.05.1990, cu 4 specializari (Biologie, Chimie – fizica, Matematica si Filologie). In primul deceniu de activitate, facultatea dobandeste o larga recunoastere si un binemeritat prestigiu, care s-au reflectat in dinamismul evolutiei sale dupa anul 1999. In prezent, Facultatea de Stiinte functioneaza cu 8 specializari de studii de licenta si 5 specializari de studii de masterat.

Facultatea de Stiinte promoveaza un invatamant modern, in concordanta cu strategia generala a Universitatii din Pitesti, asumandu-si misiunea de a forma specialisti de inalta competenta si valoare intelectuala, predominant in domenii ale stiintelor fundamentale. Nu in ultimul rand, Facultatea de Stiinte are misiunea de a forma specialisti capabili sa contribuie la rezolvarea unor probleme specifice, de maxima importanta pentru atingerea standardelor si cerintelor impuse de statutul Romaniei de stat membru a Uniunii Europene.

Pe langa indeplinirea misiunii de formare de specialisti in domeniile mai sus mentionate, la un inalt nivel de calitate si performanta, personalul didactic al Facultatii de Stiinte si-a asumat in mod responsabil misiunea de ridicare a prestigiului sau academic, atat prin activitatea de promovare sustinuta a metodelor moderne de educare - formare, cat si prin activitatea de cercetare stiintifica. In acest sens este relevanta constituirea unor colective de cercetare pe domenii de maxim interes local, regional sau national, cresterea numarului de contracte incheiate pentru proiecte de cercetare realizate in cadrul unor programe nationale sau de interes local sau regional, cresterea valorii contractelor incheiate, cresterea numarului de publicatii in tara si in strainatate, precum si cresterea numarului de invitatii si participarea efectiva la manifestari stiintifice nationale si internationale.

Accreditation Information :
Pre Requisite Courses :
Qualifying Exams :

Tution Fees :
Financial Aid / Scholarship Offered :
Courses :

Tous les cours ne sont pas nécessairement offerts chaque année. Les cours sont offerts dans la langue dans laquelle ils sont décrits.

Les cotes de cours entre parenthèses sont celles de la Carleton University. Un cours de 3 crédits à l’Université d’Ottawa correspond à un cours de 0,5 crédit à la Carleton University.

Not all of the listed courses are given each year. The course is offered in the language in which it is described.

Course codes in parentheses are for Carleton University. A 3-credit course at the University of Ottawa is equivalent to a 0.5-credit course at Carleton University.

MAT5190 (STAT 5600) MATHEMATICAL STATISTICS I (3cr.)
Statistical decision theory; likelihood functions; sufficiency; factorization theorem; exponential families; UMVU estimators; Fisher’s information; Cramer-Rao lower bound; maximum likelihood and moment estimation; invariant and robust point estimation; asymptotic properties; Bayesian point estimation. Prerequisites: MAT 3172 and MAT 3375.

MAT5191 (STAT 5501) MATHEMATICAL STATISTICS II (3cr.)
Confidence intervals and pivotals; Bayesian intervals; optimal tests and Neyman-Pearson theory; likelihood ratio and score tests; significance tests; goodness-of-fit tests; large sample theory and applications to maximum likelihood and robust estimation. Prerequisite: MAT 5190.

MAT5992 (STAT 5902) SEMINAR IN BIOSTATISTICS (3cr.)
Students work in teams on the analysis of experimental data or experimental plans. The participation of experimenters in these teams is encouraged. Student teams present their results in the seminar, and prepare a brief written report on their work.

MAT7999 THÈSE DE MAÎTRISE / MSc THESIS

EPI5240 EPIDEMIOLOGY I - INTRODUCTORY EPIDEMIOLOGY (3cr.)
An overview of epidemiology - uses, methods, and data sources. Descriptive and analytical epidemiology. Lectures and assignments in which students will work with data and will gain experience in critically reviewing epidemiologic literature. Prerequisites: EPI 5242 (Biostatistics I) or equivalent; may be taken concurrently with the permission of the program director.

EPI5241 EPIDEMIOLOGY II - ADVANCED EPIDEMIOLOGY (3cr.)
This second level epidemiology course covers major principles of design, analysis, and interpretation of epidemiologic research. Material presented in a quantitative manner. Prerequisites: EPI 5240 (Epidemiology I) and EPI 6276 (Quantitative Methods in Epidemiology); EPI 6276 may be taken concurrently with the permission of the program director.

EPI6178 INTERVENTION STUDIES IN HEALTH RESEARCH (3cr.)
Practical introduction to intervention studies in the health field, including experimental and quasi-experimental studies and clinical and community trials. Question formulation; conduct of literature reviews; design issues (choice of research design and study population, implications for validity of results); ethical issues; instrument development; data collection and management; approach to data analysis; report writing and presentation. Examples drawn from both population and clinical research. Development and presentation of proposal for an intervention study. Prerequisite: Permission of the program director.

EPI6278 ADVANCED CLINICAL TRIALS (3cr.)
Lectures and laboratories on the detailed principles, design, methodology and statistical techniques associated with clinical trials. Emphasis on emerging topics and procedures. Prerequisites: EPI 5242 and EPI 6178 and permission of the program director.

EPI5330 VITAL AND HEALTH STATISTICS AND DEMOGRAPHY (3cr.)
An introduction to the techniques of demography, health and vital statistics with particular reference to health care and epidemiologic research. The Canadian demographic structure and trends, vital registration procedures, calculation and interpretation of vital rates, life table analysis and record linkage. Lectures and exercises. Prerequisite: Permission of the program director.

EPI6276 QUANTITATIVE METHODS IN EPIDEMIOLOGY (3cr.)
Application of advanced topics in statistical methods for epidemiologic data analysis: logistic regression and discriminant analysis, Poisson regression, contingency table analysis (including log-linear modelling), time series, survival analysis, Cox regression with and without time-dependent covariates, principle components and factor analysis. Prerequisites: EPI 5240 and EPI 5242 and permission of the program director.

EPI7999 THÈSE DE MAÎTRISE EN ÉPIDÉMIOLOGIE / MSc THESIS IN EPIDEMIOLOGY

Master’s with a specialization in mathematics and statistics

The following requirements must be met:

1. 21 credits including EPI5240, EPI5241, EPI6178, EPI6278, MAT5190, MAT5191 and 3 credits of graduate course in mathematics and statistics;
2. Enrollment in the seminar course in biostatistics (STAT5902), which involves the presentation of a seminar, and the regular attendance to the seminars presented by the Department;
3. Presentation and defense of a thesis in biostatistics based on an original research carried out under the supervision of a faculty member participating in the biostatistics collaborative program.

Master’s with a specialization in epidemiology

The following requirements must be met:

1. 21 credits including EPI5240, EPI5241, EPI5330, EPI6178, EPI6278 and two graduate courses of 3 credits each in mathematics and statistics;
2. Enrollment in the seminar course in biostatistics (STAT5902), which involves the presentation of a seminar, and the regular attendance to the seminars presented by the Department;
3. Presentation and defense of a thesis in biostatistics based on an original research carried out under the supervision of a faculty member participating in the biostatistics collaborative program.

Master’s by coursework (only available for the mathematics program)

The following requirements must be met:

1. 27 credits including EPI5240, EPI5241, EPI6178, EPI6278, MAT5190, MAT5191 and three graduate courses of 3 credits each in mathematics and statistics;
2. Enrollment in the seminar course in biostatistics (STAT5902), which involves the presentation of a seminar, and the regular attendance to the seminars presented by the Department.

Admission to the collaborative program in biostatistics is governed by the «General Regulations» of the Ottawa-Carleton Institute and by the «General Regulations» of the Faculty of Graduate and Postdoctoral Studies (FGPS).

Candidates must indicate in their admission form that they wish to be accepted in the collaborative program.

All applicants must be able to understand speak and write proficiently in either English or French. Applicants whose first language is neither English nor French must provide proof of proficiency in one or the other. The list of acceptable tests is indicated in the “Admission” section of the General Regulations of the FGPS.

In accordance with the University of Ottawa regulation, assignments, examinations, research papers and theses can be produced in either English or French.

Applications are evaluated based on the following criteria:
Be admitted in one of the programs participating in the collaborative program of the Institute;
Be the holder of a bachelor’s degree with a major or a specialization in biostatistics (or equivalent) with a minimum average of 75% (B+);
Provide at least one letter of recommendation from a professor who is willing and available to act as thesis supervisor;
Be sponsored into the collaborative program by a faculty member, normally the thesis supervisor, who must be appointed, cross-appointed or stand as an adjunct at one or more of the participating units.

Note: The choice of supervisor will determine the primary campus location of the student. It will also determine which university awards the degree.

The Ottawa-Carleton Institute combines the research strengths of the University of Ottawa and Carleton University. The Institute offers graduate programs leading to the master’s (MSc) and doctoral (PhD) degrees in several fields (biology, chemistry, earth science, etc.).

Biostatistics is an interdisciplinary area of research linking statistics, biology, medicine, and health sciences. This growing area demands knowledge of the theory behind statistical procedures, an ability to put that theory into practice, and an understanding of the area of application. The applications range from clinical trials to population epidemiology and the development of new procedures. The specialization is intended to prepare a student for a career as a biostatistician in a health-related industry, or for a career in research.

The program operates within the general framework of the “Regulations and Procedures for Joint Graduate Programs (www.ocjip.ca)” and the general regulations of the graduate faculty at the two universities. The “General Regulations” of the Faculty of Graduate and Postdoctoral Studies (FGPS) of the University of Ottawa are posted on the FGPS website.
Participating Units

The primary participating units are:

The Ottawa-Carleton Institute of Mathematics and Statistics (OCIM), the joint graduate program of the Department of Mathematics and Statistics at the University of Ottawa and of the School of Mathematics and Statistics at Carleton University.

The Epidemiology and Community Medecine graduate program of the Department of Epidemiology and Community Medecine at the University of Ottawa.